Triple

T10707033
Position Surface form Disambiguated ID Type / Status
Subject George Brown Goode E252434 entity
Predicate familyName P18 FINISHED
Object Goode E355795 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: Goode | Statement: [George Brown Goode, familyName, Goode]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goode
Context triple: [George Brown Goode, familyName, Goode]
  • A. Goode chosen
    Goode is an English surname borne by various notable individuals across fields such as acting, politics, and academia.
  • B. Gurney
    Gurney is an English surname historically associated with several notable families, including Quaker bankers, philanthropists, and public figures.
  • C. Elgood
    Elgood is a small unincorporated community located in the state of West Virginia, United States.
  • D. Gooden
    Gooden is a surname most notably associated with former Major League Baseball pitcher Dwight "Doc" Gooden, a dominant star of the 1980s New York Mets.
  • E. Livengood
    Livengood is a small unincorporated community in central Alaska known historically for gold mining and its proximity to major transportation routes such as the Elliott Highway and the Trans-Alaska Pipeline corridor.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fde080d48190830eaa863aad61ff completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9990760b48190a05753974cdf556c completed April 11, 2026, 12:42 a.m.
Created at: April 8, 2026, 9:12 p.m.