Triple

T15296936
Position Surface form Disambiguated ID Type / Status
Subject Immortals E365684 entity
Predicate director P255 FINISHED
Object Tarsem Singh E467275 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: Tarsem Singh | Statement: [Immortals, director, Tarsem Singh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarsem Singh
Context triple: [Immortals, director, Tarsem Singh]
  • A. Tarsem Singh chosen
    Tarsem Singh is an Indian-American film director and visual stylist known for his strikingly imaginative, visually rich works such as "The Cell," "The Fall," and numerous high-profile music videos and commercials.
  • B. Sathnam Sanghera
    Sathnam Sanghera is a British journalist and author known for his memoir "The Boy with the Topknot" and his writing on British Sikh identity, class, and the legacy of empire.
  • C. Waris Ahluwalia
    Waris Ahluwalia is an Indian-American actor, designer, and model known for his collaborations with director Wes Anderson and his luxury jewelry brand House of Waris.
  • D. Manish Dayal
    Manish Dayal is an American actor best known for his leading role in the film "The Hundred-Foot Journey" and for his work in television series such as "The Resident."
  • E. Kunal Basu
    Kunal Basu is an Indian author and academic known for his historical and literary fiction novels such as "The Opium Clerk" and "The Japanese Wife."
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e036848c1881908fbaaae0216d6d27 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef82f6d08190b809260dda247dfe completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.