Triple

T13140366
Position Surface form Disambiguated ID Type / Status
Subject Chief Minister of Delhi E312194 entity
Predicate officeHolder P537 FINISHED
Object Sheila Dikshit E419350 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: Sheila Dikshit | Statement: [Chief Minister of Delhi, officeHolder, Sheila Dikshit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sheila Dikshit
Context triple: [Chief Minister of Delhi, officeHolder, Sheila Dikshit]
  • A. Sheila Dikshit chosen
    Sheila Dikshit was a prominent Indian National Congress politician who served as the long-time Chief Minister of Delhi, overseeing significant urban development and governance reforms in the capital.
  • B. Sarita Khurana
    Sarita Khurana is a filmmaker and producer known for her work on culturally focused, immigrant-centered stories in film and television.
  • C. Renu Khator
    Renu Khator is an Indian-American academic and higher education leader who serves as the longtime chancellor of the University of Houston System and a prominent advocate for urban research universities.
  • D. Kanchan Desai
    Kanchan Desai is the daughter of legendary Indian film actor Shammi Kapoor.
  • E. Persis Khambatta
    Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b84f1081908b9e2d54a64d4c2d completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae2c3848190b062fa8da7dc8a92 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:10 p.m.