Triple

T3633490
Position Surface form Disambiguated ID Type / Status
Subject The Three-Body Problem (TV adaptation) E77011 entity
Predicate productionCompany P490 FINISHED
Object Bighead Littlehead E340460 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: Bighead Littlehead | Statement: [The Three-Body Problem (TV adaptation), productionCompany, Bighead Littlehead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bighead Littlehead
Context triple: [The Three-Body Problem (TV adaptation), productionCompany, Bighead Littlehead]
  • A. Bighead Littlehead chosen
    Bighead Littlehead is a production company involved in creating the first season of the television series "Game of Thrones."
  • B. Chub
    Chub is a common nickname, notably associated with longtime Major League Baseball executive Chub Feeney.
  • C. Sus ahoenobarbus
    Sus ahoenobarbus is a wild pig species endemic to the Philippines, known for its distinctive facial markings and limited island distribution.
  • D. Bream
    Bream is a historic mining village in Gloucestershire, England, situated within the Forest of Dean.
  • E. Nile tilapia
    Nile tilapia is a widely farmed freshwater fish species native to African river systems, known for its fast growth, adaptability, and importance in global aquaculture and local fisheries.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc30457608190840fb5b33f9965c4 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f1af1c48190a72effe80959bfb3 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:23 p.m.