Triple

T10213429
Position Surface form Disambiguated ID Type / Status
Subject Lagaan E242384 entity
Predicate castMember P1668 FINISHED
Object Amin Hajee E850374 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: Amin Hajee | Statement: [Lagaan, castMember, Amin Hajee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amin Hajee
Context triple: [Lagaan, castMember, Amin Hajee]
  • A. Amin Hajee chosen
    Amin Hajee is an Indian actor and writer best known for his supporting role in the acclaimed Bollywood film "Lagaan" and for his work in Hindi cinema and television.
  • B. Karim Khalili
    Karim Khalili is an Afghan politician and former vice president who served as a prominent Hazara leader and key figure in the anti-Taliban resistance.
  • C. Mohammad Mohaqiq
    Mohammad Mohaqiq is an Afghan Hazara political leader and former mujahideen commander who has played a prominent role in Afghanistan’s post-Taliban politics.
  • D. Saeed Jalili
    Saeed Jalili is an Iranian conservative politician and diplomat known for serving as Iran’s chief nuclear negotiator and holding senior national security roles within the Islamic Republic.
  • E. Reza Abbasi
    Reza Abbasi was a prominent Safavid-era Persian painter renowned for his elegant single-figure miniatures and influential role in the Isfahan school of art.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa24efc081909714d98943543283 completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6f6f4d0cc8190ae41277b15b3012d completed April 9, 2026, 12:46 a.m.
Created at: April 6, 2026, 11:03 a.m.