Triple
T2821572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidney Lumet |
E54820
|
entity |
| Predicate | notableBook |
P4
|
FINISHED |
| Object |
Making Movies
Making Movies is a widely respected memoir and craft-focused book in which acclaimed film director Sidney Lumet explains his practical approach to filmmaking.
|
E300959
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Making Movies | Statement: [Sidney Lumet, notableBook, Making Movies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Making Movies Context triple: [Sidney Lumet, notableBook, Making Movies]
-
A.
CINE
CINE is the London Stock Exchange ticker symbol for Cineworld Group, one of the world’s largest cinema chains.
-
B.
Celluloid
Celluloid is a lightweight, open-source media player for Linux that provides a simple GTK-based interface for the MPV playback engine.
-
C.
Cinematic Arts and Technology
Cinematic Arts and Technology is an academic program focused on film, digital media production, and related creative technologies.
-
D.
Directors’ Lab
Directors’ Lab is a Canadian Film Centre program that provides intensive training and mentorship for emerging and mid-career film directors.
-
E.
Living at the Movies
Living at the Movies is a poetry collection by American writer and punk icon Jim Carroll, known for its vivid, streetwise depictions of urban life and youth.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Making Movies Triple: [Sidney Lumet, notableBook, Making Movies]
Generated description
Making Movies is a widely respected memoir and craft-focused book in which acclaimed film director Sidney Lumet explains his practical approach to filmmaking.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Making Movies Target entity description: Making Movies is a widely respected memoir and craft-focused book in which acclaimed film director Sidney Lumet explains his practical approach to filmmaking.
-
A.
CINE
CINE is the London Stock Exchange ticker symbol for Cineworld Group, one of the world’s largest cinema chains.
-
B.
Celluloid
Celluloid is a lightweight, open-source media player for Linux that provides a simple GTK-based interface for the MPV playback engine.
-
C.
Cinematic Arts and Technology
Cinematic Arts and Technology is an academic program focused on film, digital media production, and related creative technologies.
-
D.
Directors’ Lab
Directors’ Lab is a Canadian Film Centre program that provides intensive training and mentorship for emerging and mid-career film directors.
-
E.
Living at the Movies
Living at the Movies is a poetry collection by American writer and punk icon Jim Carroll, known for its vivid, streetwise depictions of urban life and youth.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableBook Context triple: [Sidney Lumet, notableBook, Making Movies]
-
A.
notableLibrary
Indicates that the subject is a library recognized for its significance, prominence, or special importance.
-
B.
notableEdition
Indicates that a particular edition or version of a work is especially significant or noteworthy in relation to that work.
-
C.
notableWork
chosen
Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another entity.
-
D.
notableAuthorPublished
Indicates that a work was published by an author who is recognized as notable or distinguished.
-
E.
notableTextbook
Indicates that a textbook is recognized as significant, influential, or widely used within its field or subject area.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abdf15b7288190a03d1193cc0544a6 |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceaa45e88190a9007885cf7868ef |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afcf12e3a0819098f28d31434a0c5f |
completed | March 10, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcf9c2d308190b111aa8038c9227a |
completed | March 10, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abdd08f2f481908c3da8a9c7a00552 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.