Triple

T11747697
Position Surface form Disambiguated ID Type / Status
Subject Official Secrets E279325 entity
Predicate stars P1956 FINISHED
Object Indira Varma E195788 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: Indira Varma | Statement: [Official Secrets, stars, Indira Varma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indira Varma
Context triple: [Official Secrets, stars, Indira Varma]
  • A. Indira Varma chosen
    Indira Varma is a British actress known for her versatile roles in television, film, and theatre, including prominent performances in series such as "Game of Thrones" and "Luther."
  • B. Indira Milini Khan
    Indira Milini Khan is an American singer and actress, best known as the daughter of legendary vocalist Chaka Khan and for her own work in music and entertainment.
  • C. Priya Mangal
    Priya Mangal is a laid-back, deadpan, and loyal member of Mei Lee’s friend group in Pixar’s animated film "Turning Red."
  • D. Indira Devi
    Indira Devi was an Indian woman best known as the mother of Telugu film star Mahesh Babu and the wife of veteran actor Krishna.
  • E. Leela Naidu
    Leela Naidu was an Indian actress and former Miss India known for her acclaimed but selective film work, including notable roles in both Indian and international 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50763a081908597da118bd0a64e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a0492b48190b6f2e3cf36b4f537 completed April 28, 2026, 2:23 a.m.
Created at: April 8, 2026, 9:41 p.m.