Triple

T11105667
Position Surface form Disambiguated ID Type / Status
Subject Blake Jenner E262620 entity
Predicate castMemberOf P7010 FINISHED
Object What/If E905544 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: What/If | Statement: [Blake Jenner, castMemberOf, What/If]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: What/If
Context triple: [Blake Jenner, castMemberOf, What/If]
  • A. What/If chosen
    What/If is a neo-noir thriller anthology miniseries on Netflix that explores the consequences of morally ambiguous decisions through a high-stakes, twist-filled narrative.
  • B. What If?
    "What If?" is a song by the American rock band Creed, known for its heavy guitar riffs and introspective lyrics.
  • C. What If
    "What If" is a song by the South Korean hip hop duo X&Y.
  • D. What If
    What If is a romantic comedy film best known for its witty exploration of friendship and love, starring Daniel Radcliffe and Mackenzie Davis.
  • E. If
    "If" is a hit Afrobeats love song by Nigerian singer Davido that became one of his most popular and internationally recognized tracks.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a64319481909926cebfdd47184d completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e462e5c08c8190bba2e3c8ec82051b completed April 19, 2026, 5:06 a.m.
Created at: April 8, 2026, 9:27 p.m.