Triple

T7617201
Position Surface form Disambiguated ID Type / Status
Subject Sam Winder E172390 entity
Predicate hasSurname P18 FINISHED
Object Winder E172390 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: Winder | Statement: [Sam Winder, hasSurname, Winder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winder
Context triple: [Sam Winder, hasSurname, Winder]
  • A. Winder chosen
    Winder is a surname of English origin borne by various notable individuals, including military figures and public officials.
  • B. Winder, Georgia
    Winder, Georgia is a small city in northeastern Georgia that serves as the county seat of Barrow County and is part of the Atlanta metropolitan area.
  • C. Menifee
    Menifee is a rapidly growing suburban city in Southern California known for its residential communities and proximity to major Inland Empire urban centers.
  • D. Burlada
    Burlada is a municipality in northern Spain, located in the autonomous community of Navarre and forming part of the metropolitan area of Pamplona.
  • E. Hutch Morgan
    Hutch Morgan is a fictional WWE executive and talent scout in the biographical sports comedy-drama film "Fighting with My Family."
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa46d95081909c01d1432585ab2a completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4f142c48190a63f6e25dad3d57e completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 3:55 p.m.