Triple

T21536361
Position Surface form Disambiguated ID Type / Status
Subject Coral Browne E531359 entity
Predicate name P16 FINISHED
Object Coral Browne NE NERFINISHED

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 Browne | Statement: [Coral Browne, name, Coral Browne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coral Browne
Context triple: [Coral Browne, name, Coral Browne]
  • A. Coral Browne chosen
    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."
  • B. Anthea Sylbert
    Anthea Sylbert is an American costume designer renowned for her work on numerous acclaimed films of the 1970s and 1980s, earning multiple Academy Award nominations.
  • C. Eileen Crowe
    Eileen Crowe was an Irish stage and film actress known for her character roles in mid-20th-century cinema and theatre.
  • D. Ruth Cosgrove
    Ruth Cosgrove was the wife of American comedian and television pioneer Milton Berle.
  • E. Laura Bristow
    Laura Bristow is the assumed American identity of Russian spy Irina Derevko in the television series "Alias."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0e5a9c8190894ec3666d3296aa completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.