Triple
T7524950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amitabh Bachchan |
E177866
|
entity |
| Predicate | hasVoiceRoleIn |
P55263
|
FINISHED |
| Object | Lagaan (narrator) |
E242374
|
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: Lagaan (narrator) | Statement: [Amitabh Bachchan, hasVoiceRoleIn, Lagaan (narrator)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lagaan (narrator) Context triple: [Amitabh Bachchan, hasVoiceRoleIn, Lagaan (narrator)]
-
A.
Lagaan
chosen
Lagaan is a critically acclaimed 2001 Indian epic sports drama film set in colonial India, known for its blend of cricket, music, and anti-colonial resistance.
-
B.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
-
C.
Vakeel Saab
Vakeel Saab is a 2021 Telugu-language legal drama film, a remake of the Hindi film Pink, focusing on women's rights and courtroom justice.
-
D.
Mehta
Mehta is a common Indian surname associated with various communities, often linked to professions such as merchants, accountants, and administrators.
-
E.
Baker Bhai
Baker Bhai is a hugely popular fictional Bangladeshi television character created by Humayun Ahmed, known for his rebellious yet compassionate nature and enduring cultural impact.
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c61b508190b582f54ecbb387e3 |
completed | March 27, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84635feb881908930bf355ac56a47 |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:46 p.m.