Triple

T1139415
Position Surface form Disambiguated ID Type / Status
Subject Joe Coburn E23413 entity
Predicate familyName P18 FINISHED
Object Coburn E129566 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: Coburn | Statement: [Joe Coburn, familyName, Coburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coburn
Context triple: [Joe Coburn, familyName, Coburn]
  • A. Coburn chosen
    Coburn is a surname and given name that serves as an alternative spelling of Cockburn, borne by various notable individuals in politics, entertainment, and other fields.
  • B. Crapo
    Crapo is the middle name of William C. Durant, the American industrialist who co-founded General Motors and Chevrolet.
  • C. Reid
    Reid is a common Scottish and Irish surname that has been borne by numerous notable figures across fields such as science, politics, and the arts.
  • D. Vermont-Slauson
    Vermont-Slauson is a predominantly residential and commercial neighborhood in South Los Angeles known for its diverse community and urban character.
  • E. Harry Bright
    Harry Bright is one of the three possible fathers and central adult characters in the musical and film "Mamma Mia!", known for his reserved, uptight demeanor that contrasts with the story’s exuberant Greek-island setting.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc27c88881909c64ec30b7f66575 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eaf952c81908c45b511f0231340 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:44 p.m.