Triple

T9327538
Position Surface form Disambiguated ID Type / Status
Subject Tom Bowen E224428 entity
Predicate familyName P18 FINISHED
Object Bowen E83155 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: Bowen | Statement: [Tom Bowen, familyName, Bowen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bowen
Context triple: [Tom Bowen, familyName, Bowen]
  • A. Bowen chosen
    Bowen is a surname of English and Welsh origin borne by various notable individuals across fields such as science, politics, and the arts.
  • B. Bowen
    Bowen is a coastal town in Queensland, Australia, known for its beaches, tropical climate, and position near the Whitsunday Islands.
  • C. Banwen
    Banwen is a small village in South Wales, known historically for its coal mining heritage and location near the upper Dulais Valley.
  • D. Blackwood
    Blackwood is a town in south Wales known for its coal-mining heritage and location in the Sirhowy Valley.
  • E. Blackwood
    Blackwood is an unincorporated community and census-designated place in Camden County, New Jersey, known as a residential suburb within the Philadelphia metropolitan area.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37aa78648190b786b50402b15569 completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7e940d481909882dd920f0c6c1d completed April 4, 2026, 8:12 a.m.
Created at: March 30, 2026, 7:39 p.m.