Triple
T8975978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clifford Vaughan |
E214388
|
entity |
| Predicate | typeOfWorkCreated |
P42896
|
FINISHED |
| Object | film scores |
—
|
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 scores | Statement: [Clifford Vaughan, typeOfWorkCreated, film scores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWorkCreated Context triple: [Clifford Vaughan, typeOfWorkCreated, film scores]
-
A.
typeOfWork
Indicates the kind or category of work associated with or performed by an entity.
-
B.
createdWork
Indicates that an agent is responsible for bringing a work (such as a creative, intellectual, or produced artifact) into existence.
-
C.
creationType
Indicates the manner or process by which something was brought into existence or produced.
-
D.
createdForWorkBy
Indicates that something was created specifically for use in work or professional activities by a particular agent or person.
-
E.
creativeWorkType
chosen
Indicates the specific category or form of a creative work (such as book, movie, painting, or song) that characterizes the relationship.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6786c880819088393bb107a7364c |
completed | April 1, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed9a2d48190ad11381078e823b7 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:02 p.m.