Triple
T8564837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijay |
E202777
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bigil |
E743785
|
NE FINISHED |
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: Bigil | Statement: [Vijay, notableWork, Bigil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bigil Context triple: [Vijay, notableWork, Bigil]
-
A.
Bigil
chosen
Bigil is a 2019 Tamil sports action film directed by Atlee, starring Vijay as a football coach who mentors a women’s team while confronting his violent past.
-
B.
Billu
Billu is a 2009 Indian Hindi-language comedy-drama film about a poor village barber whose life changes when a Bollywood superstar, played by Shah Rukh Khan, visits his town.
-
C.
Bommarillu
Bommarillu is a popular 2006 Telugu romantic comedy-drama film celebrated for its engaging family-centric story, charming performances, and memorable music.
-
D.
Ben Aan
Ben Aan is a popular, relatively small hill in the Trossachs region of Scotland, known for its steep but short ascent and panoramic views over Loch Katrine and Loch Achray.
-
E.
Kabali
Kabali is a 2016 Indian Tamil-language action drama film starring Rajinikanth as an aging gangster seeking revenge and redemption.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d11274819099cc33a21a993a1f |
completed | March 31, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea87badf081909727808f0e14ae45 |
completed | April 2, 2026, 5:33 p.m. |
Created at: March 30, 2026, 6:20 p.m.