Triple

T2382971
Position Surface form Disambiguated ID Type / Status
Subject Casey Patterson E46352 entity
Predicate employer P7 FINISHED
Object Casey Patterson Entertainment E35173 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: Casey Patterson Entertainment | Statement: [Casey Patterson, employer, Casey Patterson Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casey Patterson Entertainment
Context triple: [Casey Patterson, employer, Casey Patterson Entertainment]
  • A. Casey Patterson Entertainment chosen
    Casey Patterson Entertainment is a television production company known for creating and producing popular unscripted and live event programming.
  • B. Casey Patterson
    Casey Patterson is a television producer known for creating and overseeing popular entertainment and live event programming.
  • C. Casey Stoney
    Casey Stoney is a former England international defender who has become a prominent women's football manager, known for her successful coaching roles in top-level clubs.
  • D. Jody Patton
    Jody Patton is an American arts and museum professional best known for co-founding Seattle’s Experience Music Project (now MoPOP) alongside Paul Allen.
  • E. Davis Entertainment
    Davis Entertainment is an American film and television production company known for producing a wide range of mainstream Hollywood movies and series across action, adventure, and genre entertainment.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7bafa248190a68e8f1e081f4817 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8b790bc8190ba399e252acec750 completed March 9, 2026, 11:02 a.m.
Created at: March 4, 2026, 7:57 p.m.