Triple

T13258664
Position Surface form Disambiguated ID Type / Status
Subject Chris Lowell E315730 entity
Predicate familyName P18 FINISHED
Object Lowell 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: Lowell | Statement: [Chris Lowell, familyName, Lowell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lowell
Context triple: [Chris Lowell, familyName, Lowell]
  • A. Lowell chosen
    Lowell is a surname most prominently associated with former Major League Baseball third baseman and World Series MVP Mike Lowell.
  • B. Lowell, Massachusetts
    Lowell, Massachusetts is a historic New England city known as a cradle of the American Industrial Revolution and a center of early textile manufacturing.
  • C. Fitchburg
    Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
  • D. Medford
    Medford is a city in southern Oregon that serves as a regional commercial and transportation hub in the Rogue Valley.
  • E. Medford
    Medford is a hamlet and residential community located within the Town of Brookhaven in Suffolk County on Long Island, New York.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f778088819082b8a596c04bfe02 completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:25 p.m.