Triple

T15822444
Position Surface form Disambiguated ID Type / Status
Subject Oh E383644 entity
Predicate writer P1360 FINISHED
Object Christopher Bridges 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: Christopher Bridges | Statement: [Oh, writer, Christopher Bridges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Bridges
Context triple: [Oh, writer, Christopher Bridges]
  • A. Christopher Bridges chosen
    Christopher Bridges, better known by his stage name Ludacris, is an American rapper, actor, and entrepreneur recognized as one of the prominent figures of early-2000s Southern hip hop.
  • B. Christopher Atkins
    Christopher Atkins is an American actor best known for his breakout role in the 1980 film "The Blue Lagoon."
  • C. Peter Firth
    Peter Firth is an English actor best known for his roles in the film "Equus" and the television series "Spooks" (MI-5).
  • D. Graham Broadbent
    Graham Broadbent is a British film and television producer known for acclaimed works such as "Three Billboards Outside Ebbing, Missouri" and "The Best Exotic Marigold Hotel."
  • E. Martin Clunes
    Martin Clunes is an English actor and comedian best known for his lead role in the television series "Doc Martin" and his work on the sitcom "Men Behaving Badly."
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a887d881908f74a1fcba390727 completed April 16, 2026, 11:14 a.m.
Created at: April 10, 2026, 4:49 a.m.