Triple
T16527792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saeed Akhtar Mirza |
E401484
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Naseem |
E1219852
|
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: Naseem | Statement: [Saeed Akhtar Mirza, wrote, Naseem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naseem Context triple: [Saeed Akhtar Mirza, wrote, Naseem]
-
A.
Naseem
chosen
Naseem is an Indian art-house film directed by Saeed Akhtar Mirza that poignantly portrays the rising communal tensions in Bombay leading up to the Babri Masjid demolition.
-
B.
Naseem
Naseem is the given name of Naseem Hamed, the British former professional boxer famed for his flamboyant style and knockout power.
-
C.
Najma
Najma was the mother of Ali al-Rida, the eighth Shia Imam, and is venerated in Islamic tradition for her piety and role in his upbringing.
-
D.
Shabana
Shabana is a prominent Bangladeshi film actress renowned for her extensive and influential career in Bengali cinema.
-
E.
Zeenat
Zeenat is the given name of Zeenat Karzai, the wife of former Afghan President Hamid Karzai and a former gynecologist.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed4b8a08190b5f179fc583001a6 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00758d82748190acfb8bbc3047d5a5 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:14 a.m.