Triple

T12844111
Position Surface form Disambiguated ID Type / Status
Subject Angela Beesley E307127 entity
Predicate name P16 FINISHED
Object Angela Beesley E307127 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 Beesley | Statement: [Angela Beesley, name, Angela Beesley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angela Beesley
Context triple: [Angela Beesley, name, Angela Beesley]
  • A. Angela Beesley chosen
    Angela Beesley is a British web entrepreneur best known as the co-founder of Wikia (now Fandom), a major community-driven wiki hosting platform.
  • B. Angela Lewis
    Angela Lewis is a character in the romantic comedy film "Boomerang," serving as one of the key figures in the movie’s exploration of relationships and workplace dynamics.
  • C. Angela Barnes
    Angela Barnes is a British stand-up comedian and radio presenter known for her sharp, politically savvy comedy and regular appearances on BBC Radio 4.
  • D. Angela Browne
    Angela Browne was a British actress known for her film and television roles in the 1950s and 1960s.
  • E. Angela Vannice
    Angela Vannice is best known as the first wife of former Major League Baseball outfielder Johnny Damon.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff3a7208190b93f6292ed5efc07 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b9fa40c8190bbc2c6ad22795de4 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:36 p.m.