Triple

T14154938
Position Surface form Disambiguated ID Type / Status
Subject Coral Bell E350790 entity
Predicate name P16 FINISHED
Object Coral Bell E350790 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: Coral Bell | Statement: [Coral Bell, name, Coral Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coral Bell
Context triple: [Coral Bell, name, Coral Bell]
  • A. Coral Bell chosen
    Coral Bell was an influential Australian international relations scholar and strategic thinker known for her work on power politics, alliances, and Asia-Pacific security.
  • B. Coral Browne
    Coral Browne was an Australian-born stage and screen actress known for her sophisticated wit, acclaimed theatre work in Britain, and memorable film roles including in "Auntie Mame" and "Dreamchild."
  • C. Beryl Clark
    Beryl Clark was an American football player best known for playing as a halfback for the University of Oklahoma in the late 1930s.
  • D. Lynn Marshall
    Lynn Marshall is best known as the wife of former Wichita State University men's basketball coach Gregg Marshall and a prominent, vocal presence at his games.
  • E. Beryl Mercer
    Beryl Mercer was a British-born character actress known for her maternal and supporting roles in early 20th-century stage and Hollywood 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6135744c81909a43d659f5fe2895 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7ec6448819087e50aac964ec637 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 12:58 a.m.