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.