Triple
T26975716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takar Pahar (1992 film) |
E679447
|
entity |
| Predicate | hasDirectorWhoAlsoActs |
P106880
|
FINISHED |
| Object | Kazi Hayat |
—
|
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: Kazi Hayat | Statement: [Takar Pahar (1992 film), hasDirectorWhoAlsoActs, Kazi Hayat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirectorWhoAlsoActs Context triple: [Takar Pahar (1992 film), hasDirectorWhoAlsoActs, Kazi Hayat]
-
A.
leadActorAlsoDirector
Indicates that the person who plays the lead acting role in a production is also the director of that same production.
-
B.
hasDirectorStar
chosen
Indicates that a person both directed and starred in the same work (e.g., film, show, or production).
-
C.
hasDirectorScreenwriter
Indicates that a director is also the screenwriter (or one of the screenwriters) for a given work.
-
D.
appearedInFilmDirectedBy
Indicates that an entity appeared in a film whose director is the specified other entity.
-
E.
hasDirectorInKeyWork
Indicates that a director is associated with a key or primary work of an entity (such as a film, series, or major production).
- 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_69eeeb507a7081909d516e1fa08b7d29 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 27, 2026, 6:42 a.m.