Triple
T29331466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlee |
E743791
|
entity |
| Predicate | hasDirectedFilmStarring |
P148264
|
FINISHED |
| Object | Vijay (actor) |
—
|
NE NERFINISHED |
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: Vijay (actor) | Statement: [Atlee, hasDirectedFilmStarring, Vijay (actor)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirectedFilmStarring Context triple: [Atlee, hasDirectedFilmStarring, Vijay (actor)]
-
A.
hasDirectedFeatureFilm
Indicates that a person has directed a particular feature-length film.
-
B.
appearedInFilmDirectedBy
chosen
Indicates that an entity appeared in a film whose director is the specified other entity.
-
C.
portrayedInFilmDirectedBy
Indicates that one entity is portrayed as a character in a film that is directed by another specified entity.
-
D.
hasDirectorStar
Indicates that a person both directed and starred in the same work (e.g., film, show, or production).
-
E.
producedFilmStarring
Indicates that a person or company produced a film in which a specified actor or set of actors starred.
- 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_69f09125f784819080f4e9fce9fe624f |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: April 28, 2026, 1:29 p.m.