Triple

T17617432
Position Surface form Disambiguated ID Type / Status
Subject Laura Nelson Kirkwood E429120 entity
Predicate familyName P18 FINISHED
Object Kirkwood NE NERFINISHED

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: Kirkwood | Statement: [Laura Nelson Kirkwood, familyName, Kirkwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirkwood
Context triple: [Laura Nelson Kirkwood, familyName, Kirkwood]
  • A. Kirkwood
    Kirkwood is a small mountain resort community in the Sierra Nevada of California, best known for its ski area and outdoor recreation.
  • B. Kirkwood chosen
    Kirkwood is a Scottish surname associated with various notable individuals in politics, sports, and other fields.
  • C. Kirkewood
    Kirkewood is an alternative spelling of the name Kirkwood, which is used for various places and surnames in English-speaking regions.
  • D. Kirkwood, Missouri
    Kirkwood, Missouri is a historic suburban city in the St. Louis metropolitan area known for its walkable downtown, community events, and one of the oldest commuter rail stations west of the Mississippi River.
  • E. Kirkwood N
    Kirkwood N is a small satellite impact crater located near the larger lunar crater Kirkwood on the Moon’s surface.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d33a2b081908deecee773c333af completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.