Triple
T2136080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lita Grey |
E46655
|
entity |
| Predicate | notableWorkContext |
P29300
|
FINISHED |
| Object | early silent-film work |
—
|
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: early silent-film work | Statement: [Lita Grey, notableWorkContext, early silent-film work]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableWorkContext Context triple: [Lita Grey, notableWorkContext, early silent-film work]
-
A.
notableWork
Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another entity.
-
B.
notableWorkContained
Indicates that a notable work is included within or is part of another entity, such as a collection, publication, or compilation.
-
C.
notableWorkWith
Indicates a relationship where two or more entities are recognized for having collaborated on or been jointly associated with a significant work or project.
-
D.
notableWorkIn
chosen
Indicates that an entity is known for or associated with a significant work, contribution, or achievement in a particular field or context.
-
E.
notableWorkArea
Indicates the field or domain in which an entity’s significant work or contributions are primarily focused.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbf74147c81908793c3694894f94a |
completed | March 7, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69abbd96a3b0819081efbfef975e1513 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.