Triple

T9309078
Position Surface form Disambiguated ID Type / Status
Subject Cutter E223962 entity
Predicate caseOpposingParty P44728 FINISHED
Object Wilkinson E31140 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: Wilkinson | Statement: [Cutter, caseOpposingParty, Wilkinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilkinson
Context triple: [Cutter, caseOpposingParty, Wilkinson]
  • A. Wilkinson chosen
    Wilkinson is an English surname, originally a patronymic meaning "son of Wilkin," that has been borne by various notable figures and brands.
  • B. Wilkerson
    Wilkerson is the surname of Muhammad Wilkerson, an American former NFL defensive end best known for his Pro Bowl tenure with the New York Jets.
  • C. Watson-Wentworth
    Watson-Wentworth is a British aristocratic family name historically associated with the Marquesses of Rockingham and prominent 18th-century political influence.
  • D. Wilkin
    Wilkin is a medieval English given name that originated as a diminutive form of William and later gave rise to the surname Wilkinson.
  • E. Gillett
    Gillett is an English-language surname borne by various notable individuals across politics, sports, and the arts.
  • 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: caseOpposingParty
Context triple: [Cutter, caseOpposingParty, Wilkinson]
  • A. opponentInCase chosen
    Indicates that two parties are on opposing sides in the same legal case or proceeding.
  • B. opposingParticipants
    Indicates that the related entities are participants positioned in opposition to each other within the same interaction, event, or context.
  • C. partyToCase
    Indicates that an entity is involved in a legal case as one of its formal participants (e.g., plaintiff, defendant, or other party).
  • D. otherSignificantParty
    Indicates that an entity has another important associated party, such as a key counterpart, partner, or involved participant in a relationship or transaction.
  • E. opposesPartyType
    Indicates that one party or entity is in opposition to, or acts against the interests or positions of, a particular type or category of party.
  • 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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd1daba67c819081d53545d67ef127 completed April 1, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c784f24481909af5f0daa1b8333a completed April 4, 2026, 8:10 a.m.
PD Predicate disambiguation batch_69cc7a61e9a4819096eb014f3791ef2e completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:37 p.m.