Triple

T2182310
Position Surface form Disambiguated ID Type / Status
Subject Sophia Strahan E49071 entity
Predicate familyName P18 FINISHED
Object Strahan E32074 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: Strahan | Statement: [Sophia Strahan, familyName, Strahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strahan
Context triple: [Sophia Strahan, familyName, Strahan]
  • A. Strahan chosen
    Strahan is a surname most prominently associated with Michael Strahan, the former NFL star and television personality.
  • B. Shandon
    Shandon is a small rural community in California’s Central Coast region known for its agriculture and proximity to local vineyards and ranchlands.
  • C. Rawson
    Rawson is a coastal city in southern Argentina that serves as the capital of Chubut Province and an important administrative and fishing center in Patagonia.
  • D. Seymour
    Seymour is a masculine given name of English origin that has been borne by various notable figures in fields such as business, politics, and the arts.
  • E. Seymour
    Seymour is a small unincorporated community and suburban area in eastern Tennessee, situated near Knoxville in the foothills of the Great Smoky Mountains.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf0d551881909d7f907378e1b2b7 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da786e48190896cae8fdcee3d83 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:45 p.m.