Triple

T15452423
Position Surface form Disambiguated ID Type / Status
Subject Pink E371684 entity
Predicate child P120 FINISHED
Object Jameson Moon Hart E371684 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: Jameson Moon Hart | Statement: [Pink, child, Jameson Moon Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jameson Moon Hart
Context triple: [Pink, child, Jameson Moon Hart]
  • A. Jameson Moon Hart chosen
    Jameson Moon Hart is the younger child of American singer Pink and motocross racer Carey Hart, occasionally appearing in their public and social media posts.
  • B. Jameson Thomas
    Jameson Thomas was a British actor best known for his roles in early 20th-century films, including several classics of the 1930s Hollywood era.
  • C. Jason Hudson
    Jason Hudson was the brother of singer and actress Jennifer Hudson, tragically murdered in a widely publicized 2008 family shooting in Chicago.
  • D. Jason Hudson
    Jason Hudson is a key CIA operative and supporting protagonist in the Call of Duty: Black Ops series, known for his stoic demeanor and role in overseeing covert operations during the Cold War.
  • E. Zachary Knighton
    Zachary Knighton is an American actor best known for his roles in the sitcom "Happy Endings" and various television series and films.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03efaf82c81908b464e37ce9c159a completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365337c481909b9f9a376cf9462e completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:30 a.m.