Triple
T1826228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Film Sense |
E40658
|
entity |
| Predicate | isSeminalWorkIn |
P4
|
FINISHED |
| Object | film studies |
—
|
LITERAL FINISHED |
How this triple was built (2 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: film studies | Statement: [The Film Sense, isSeminalWorkIn, film studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSeminalWorkIn Context triple: [The Film Sense, isSeminalWorkIn, film studies]
-
A.
isPosthumousWorkOf
Indicates that a work was created, published, or became known only after the death of the person with whom it is associated.
-
B.
notableWorkPresented
Indicates that a particular notable work was presented, exhibited, or showcased by an entity (such as a person or organization).
-
C.
notableWorkContained
Indicates that a notable work is included within or is part of another entity, such as a collection, publication, or compilation.
-
D.
isScholarly
Indicates that an entity exhibits characteristics of academic rigor, research-based inquiry, and adherence to scholarly standards or conventions.
-
E.
notableWork
chosen
Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another entity.
- F. None of above.
Provenance (3 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb45402688190b9a535b14030c354 |
completed | March 7, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69abafd6a9948190ac2b2743db6f8f69 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:32 p.m.