Triple
T22292521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashok Saraf |
E551031
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Singham |
—
|
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: Singham | Statement: [Ashok Saraf, notableWork, Singham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Singham Context triple: [Ashok Saraf, notableWork, Singham]
-
A.
Singam
chosen
Singam is a popular Indian Tamil-language action film featuring Suriya as a fearless and principled police officer battling crime and corruption.
-
B.
Khalnayak
Khalnayak is a 1993 Indian Hindi-language action thriller film, directed by Subhash Ghai, known for its iconic villainous lead role and popular soundtrack.
-
C.
Rowdy Rathore
Rowdy Rathore is a 2012 Indian action masala film starring Akshay Kumar as a fearless cop who battles crime in a small town.
-
D.
Shyam
Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
-
E.
Ram Baran
Ram Baran is the given name of Ram Baran Yadav, the first president of Nepal.
- 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.