Triple

T1801403
Position Surface form Disambiguated ID Type / Status
Subject Press for Time E39725 entity
Predicate hasCastMember P2308 FINISHED
Object Angela Browne E220418 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: Angela Browne | Statement: [Press for Time, hasCastMember, Angela Browne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angela Browne
Context triple: [Press for Time, hasCastMember, Angela Browne]
  • A. Angela Browne chosen
    Angela Browne was a British actress known for her film and television roles in the 1950s and 1960s.
  • B. Angela Birney
    Angela Birney is an American local politician who serves as the mayor of Redmond, Washington.
  • C. Angela James
    Angela James is a pioneering Canadian ice hockey player widely regarded as one of the greatest women’s players of all time and a trailblazer for the women’s game.
  • D. Angela Byrd
    Angela Byrd is known as the wife of former New York Jets defensive lineman Dennis Byrd, who became widely recognized following his career-ending spinal injury and subsequent inspirational recovery.
  • E. Dawn Laurel-Jones
    Dawn Laurel-Jones is a photographer and the wife of American actor and filmmaker Tommy Lee Jones.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa656ad5d4819090e677ad137b0cd1 completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0305b6d08190804da5445e1f54d9 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:32 p.m.