Triple

T21960042
Position Surface form Disambiguated ID Type / Status
Subject Lucas Burch E542300 entity
Predicate usesAlias P23264 FINISHED
Object Joe Brown 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: Joe Brown | Statement: [Lucas Burch, usesAlias, Joe Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Brown
Context triple: [Lucas Burch, usesAlias, Joe Brown]
  • A. Joe Brown
    Joe Brown is an American television personality and former criminal court judge best known for presiding over the syndicated arbitration-based reality court show "Judge Joe Brown."
  • B. Joe Brown chosen
    Joe Brown is the alias used by the character Lucas Burch in William Faulkner’s novel "Light in August."
  • C. Joe Brown
    Joe Brown was a renowned British mountaineer celebrated for pioneering ascents in the mid-20th century and for helping usher in the era of modern rock climbing.
  • D. Joe Brown
    Joe Brown is a fictional character played by British actor Lennie James, known for his intense and emotionally complex performances.
  • E. Joe Brown
    Joe Brown is a British singer and guitarist known for his influential role in early rock and roll and skiffle music.
  • 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12454a290819094d4b56547816e3f completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8 p.m.