Triple
T23439428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anushka Sharma |
E565353
|
entity |
| Predicate | producerOf |
P490
|
FINISHED |
| Object | Phillauri |
—
|
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: Phillauri | Statement: [Anushka Sharma, producerOf, Phillauri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phillauri Context triple: [Anushka Sharma, producerOf, Phillauri]
-
A.
Phillauri
chosen
Phillauri is a 2017 Indian romantic comedy-drama film that blends elements of fantasy and reincarnation, featuring a ghost bride entangled in a modern-day Punjabi wedding.
-
B.
Chapaar
Chapaar was a Mongol ruler who succeeded Kaidu in leading his Central Asian domains during the late 13th century.
-
C.
Hum Paanch
Hum Paanch is a popular Indian Hindi-language sitcom from the 1990s and early 2000s, centered on a middle-class man constantly exasperated by the antics of his five quirky daughters.
-
D.
Dilwaala
Dilwaala is an Indian film best known for featuring actress Persis Khambatta in a notable role.
-
E.
Hulchul
Hulchul is a 1995 Indian Hindi-language romantic drama film featuring Farah Naaz in a prominent role.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5de713c8190b35bfa66dddbd5af |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:50 p.m.