Triple

T10858739
Position Surface form Disambiguated ID Type / Status
Subject Mark Wood E256337 entity
Predicate hasPlayedForTeam P2170 FINISHED
Object Durham E59757 NE FINISHED

How this triple was built (3 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: Durham | Statement: [Mark Wood, hasPlayedForTeam, Durham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durham
Context triple: [Mark Wood, hasPlayedForTeam, Durham]
  • A. Durham chosen
    Durham is a historic cathedral city in northeast England known for its Norman architecture and prestigious university.
  • B. Durham
    Durham is a regional municipality in Southern Ontario, Canada, encompassing several communities east of Toronto including cities like Whitby and Oshawa.
  • C. Durham, North Carolina
    Durham, North Carolina is a major city in the Research Triangle region known for Duke University, a strong research and tech economy, and a rich civil rights and tobacco-industry history.
  • D. Durham County
    Durham County is a Canadian crime drama television series centered on a detective confronting personal and professional turmoil in a suburban community.
  • E. Durham, New Hampshire
    Durham, New Hampshire is a small New England town best known as the home of the University of New Hampshire and for its historic role in early American history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlayedForTeam
Context triple: [Mark Wood, hasPlayedForTeam, Durham]
  • A. teamPlayedFor
    Indicates that a person was a member of and played for a particular sports team.
  • B. playedFor chosen
    Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
  • C. laterPlayedFor
    Indicates that an individual was a member of or played for a team or organization at a time after a previously referenced team or organization.
  • D. positionPlayedForTeam
    Indicates the specific playing position or role an individual held while participating on a particular team.
  • E. hasFormerTeam
    Indicates that an entity was previously a member of, played for, or was affiliated with a team in the past but is no longer associated with that team.
  • F. None of above.

Provenance (4 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751500e248190823a16f2c85ad829 completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154c05bf081909d1892c6c81a5f2c completed April 16, 2026, 9:29 p.m.
PD Predicate disambiguation batch_69d70d308dfc81908792f98cfb871392 completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:20 p.m.