Triple

T2438174
Position Surface form Disambiguated ID Type / Status
Subject Tosca Musk E53210 entity
Predicate founded P104 FINISHED
Object Passionflix E269216 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: Passionflix | Statement: [Tosca Musk, founded, Passionflix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Passionflix
Context triple: [Tosca Musk, founded, Passionflix]
  • A. Passionflix chosen
    Passionflix is a streaming service and film production company that specializes in adapting popular romance novels into movies and series.
  • B. Let the Right One In
    Let the Right One In is a critically acclaimed 2008 Swedish romantic horror film about the bond between a bullied boy and a mysterious child vampire.
  • C. Passions
    Passions is an American daytime soap opera known for its blend of traditional melodrama with supernatural and fantasy elements, which aired on NBC from 1999 to 2007.
  • D. Luvenda
    Luvenda is an alternative name for Venda, a Bantu language and ethnic group primarily found in South Africa.
  • E. The Secret Pilgrim
    The Secret Pilgrim is a 1990 espionage novel by John le Carré that revisits the world of British intelligence through a series of reminiscences framed by the presence of master spy George Smiley.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f4d2dc8190b3c264a6c20d1bd5 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69af178a0f0c81909f6629f3fed76e2c completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:43 p.m.