Triple

T33498707
Position Surface form Disambiguated ID Type / Status
Subject Celador E857930 entity
Predicate wonLawsuitAgainst P176676 FINISHED
Object Disney (over Who Wants to Be a Millionaire? profits) NE NERFINISHED

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: Disney (over Who Wants to Be a Millionaire? profits) | Statement: [Celador, wonLawsuitAgainst, Disney (over Who Wants to Be a Millionaire? profits)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wonLawsuitAgainst
Context triple: [Celador, wonLawsuitAgainst, Disney (over Who Wants to Be a Millionaire? profits)]
  • A. legalOutcome
    Indicates the resulting legal status, decision, or consequence that follows from a legal process, action, or judgment.
  • B. seeksJusticeAgainst
    Indicates that one entity actively pursues legal or moral accountability or retribution directed at another entity.
  • C. sued
    Indicates that one party has initiated legal action or filed a lawsuit against another party in a court of law.
  • D. legalActionFiled
    Indicates that a formal legal proceeding or complaint has been officially initiated with the appropriate authority or court.
  • E. canBeSuedFor
    Indicates that one party is legally liable or potentially subject to legal action by another party for a specified cause or wrongdoing.
  • F. None of above. chosen

Provenance (4 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_69f3497660508190a541826a81f7e9ab completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e56cfb0c8190a911312571616b06 completed May 3, 2026, 6:04 a.m.
PD Predicate disambiguation batch_69f6e3db74c081909a991309d835d477 completed May 3, 2026, 5:57 a.m.
PDg Predicate description generation batch_69f6e4a260808190b4aca0b988f3e593 completed May 3, 2026, 6:01 a.m.
Created at: May 1, 2026, 1:38 a.m.