Triple
T8550775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajinikanth |
E202437
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Enthiran |
E202643
|
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: Enthiran | Statement: [Rajinikanth, notableWork, Enthiran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enthiran Context triple: [Rajinikanth, notableWork, Enthiran]
-
A.
Enthiran
chosen
Enthiran is a landmark 2010 Indian Tamil science fiction film directed by S. Shankar and starring Rajinikanth and Aishwarya Rai, noted for its groundbreaking visual effects and large-scale production.
-
B.
Dasavathaaram
Dasavathaaram is a 2008 Indian Tamil science-fiction action film famed for Kamal Haasan’s portrayal of ten distinct roles and its complex, time-spanning narrative.
-
C.
Thammudu
Thammudu is a 1999 Telugu sports action drama film starring Pawan Kalyan, known for its blend of college romance, family sentiment, and kickboxing-based storyline.
-
D.
Vetrimaaran
Vetrimaaran is an acclaimed Indian filmmaker and screenwriter known for his gritty, realistic Tamil-language films and multiple National Film Awards.
-
E.
Khaidi
Khaidi is a 1983 Telugu-language action film that became a major breakthrough for Chiranjeevi, establishing him as a leading star in Indian cinema.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe75589d8819096177ddbd3dafcb6 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dc1bb5481909ddd3af564c24c0c |
completed | April 2, 2026, 1:23 p.m. |
Created at: March 30, 2026, 6:19 p.m.