Triple

T11238649
Position Surface form Disambiguated ID Type / Status
Subject Malcolm Brown E266011 entity
Predicate name P16 FINISHED
Object Malcolm Brown E266011 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: Malcolm Brown | Statement: [Malcolm Brown, name, Malcolm Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malcolm Brown
Context triple: [Malcolm Brown, name, Malcolm Brown]
  • A. Malcolm Brown chosen
    Malcolm Brown is an American football running back known for his career in the NFL, including playing for the St. Louis/Los Angeles Rams and Miami Dolphins.
  • B. Malcolm Brown
    Malcolm Brown was an American film art director known for his work on classic Hollywood productions, including the World War II drama "Thirty Seconds Over Tokyo."
  • C. Malcolm Johnson
    Malcolm Johnson is the protagonist of the horror story "A Haunted House," around whom the eerie and supernatural events of the narrative revolve.
  • D. Malcolm Wilson
    Malcolm Wilson was an American Republican politician who served as governor of New York in the early 1970s.
  • E. Malcolm Moore
    Malcolm Moore is a musician known for his performance work associated with the album "All the Lost Souls."
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e918375081908c2a7ccb50cbf331 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6e9390819085d10635cb039f85 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.