Triple
T15691832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legal Eagles |
E380348
|
entity |
| Predicate | featureFilmDebutFor |
P93166
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Legal Eagles, featureFilmDebutFor, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featureFilmDebutFor Context triple: [Legal Eagles, featureFilmDebutFor, none]
-
A.
featureFilmDebut
chosen
Indicates that a work marks an entity’s first appearance or role in a feature-length film.
-
B.
filmDebutIn
Indicates the first film in which a person appeared or participated, marking their debut in cinema.
-
C.
filmDebut
Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
-
D.
featureDirectorialDebutOf
Indicates that a work (typically a film) serves as the first directorial effort of a particular director.
-
E.
filmIndustryDebut
Indicates the event or point in time when an entity first appears or participates in the film industry, such as through a first film role, production, or related professional activity.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:44 a.m.