Triple

T16478578
Position Surface form Disambiguated ID Type / Status
Subject John Tunstall E400252 entity
Predicate businessPartner P282 FINISHED
Object Alexander McSween E405686 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: Alexander McSween | Statement: [John Tunstall, businessPartner, Alexander McSween]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander McSween
Context triple: [John Tunstall, businessPartner, Alexander McSween]
  • A. Alexander McSween chosen
    Alexander McSween was a prominent 19th-century lawyer and central figure in the Lincoln County War in New Mexico, whose activities helped shape the history commemorated in the Lincoln Historic District.
  • B. William McSweeny
    William McSweeny is an author best known for co-writing the autobiography "Go Up for Glory" with basketball legend Bill Russell.
  • C. James Gillespie
    James Gillespie was a 19th-century Texas figure, likely a politician or military leader, honored as the namesake of Gillespie County.
  • D. Alexander Crawford
    Alexander Crawford is a notable individual distinguished enough to be recognized as a prominent bearer of the Crawford surname.
  • E. Sam MacLintock
    Sam MacLintock is an actor known for his role in the 2002 television adaptation of "Doctor Zhivago."
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e01230881908b2147a25f78b7f4 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ed25bcc819090ccca4705e4e24f completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:13 a.m.