Triple
T22292525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashok Saraf |
E551031
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Koyla |
—
|
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: Koyla | Statement: [Ashok Saraf, notableWork, Koyla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koyla Context triple: [Ashok Saraf, notableWork, Koyla]
-
A.
Koyla
chosen
Koyla is a 1997 Indian Hindi-language action thriller film directed by Rakesh Roshan, known for its intense revenge plot and starring Shah Rukh Khan and Madhuri Dixit.
-
B.
Koyeti
Koyeti is a dialect of the Southern Valley Yokuts language traditionally spoken by Indigenous Yokuts people of California’s Central Valley.
-
C.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
D.
Kakisa
Kakisa is a small Indigenous community in the South Slave Region of the Northwest Territories, Canada, known for its proximity to Kakisa Lake and traditional Dene culture.
-
E.
Kohly
Kohly is a residential neighborhood in the Playa municipality of Havana, Cuba, known for its quiet streets and proximity to major city avenues.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560d1ec48190ab86f158c94b677b |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 16, 2026, 8:41 p.m.