Triple

T20231934
Position Surface form Disambiguated ID Type / Status
Subject Russell Wayne Baker E495546 entity
Predicate familyName P18 FINISHED
Object Baker 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: Baker | Statement: [Russell Wayne Baker, familyName, Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baker
Context triple: [Russell Wayne Baker, familyName, Baker]
  • A. Baker chosen
    Baker is a common English occupational surname originally given to people who baked bread or worked in a bakery.
  • B. Baker
    Baker is a small desert town in San Bernardino County, California, known as a roadside stop and gateway to Death Valley for travelers along Interstate 15 between Los Angeles and Las Vegas.
  • C. Baker
    Baker is a small city in East Baton Rouge Parish, Louisiana, known as a residential community within the Baton Rouge metropolitan area.
  • D. Baker
    Baker was the second of the 1946 Operation Crossroads nuclear tests at Bikini Atoll, notable as an underwater detonation used to study the effects of nuclear explosions on naval ships and equipment.
  • E. Baker
    Baker is a residential dormitory at the Massachusetts Institute of Technology known for its distinctive architecture and vibrant student community.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fddafac819089cef4158f5e0ab5 completed April 20, 2026, 6:26 p.m.
Created at: April 11, 2026, 11:39 p.m.