Triple

T32746694
Position Surface form Disambiguated ID Type / Status
Subject Fred McNair E837370 entity
Predicate wonTournamentWithPartner P44416 FINISHED
Object Sherwood Stewart
Sherwood Stewart is an American former professional tennis player best known as a doubles specialist who achieved significant success on the ATP tour in the 1970s and 1980s.
 E2038199 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: Sherwood Stewart | Statement: [Fred McNair, wonTournamentWithPartner, Sherwood Stewart]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sherwood Stewart
Triple: [Fred McNair, wonTournamentWithPartner, Sherwood Stewart]
Generated description
Sherwood Stewart is an American former professional tennis player best known as a doubles specialist who achieved significant success on the ATP tour in the 1970s and 1980s.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: wonTournamentWithPartner
Context triple: [Fred McNair, wonTournamentWithPartner, Sherwood Stewart]
  • A. wonTournament
    Indicates that an entity emerged as the overall victor in a tournament competition.
  • B. hasDoublesPartner chosen
    Indicates that one entity serves as the doubles partner of another in a paired or team-based activity or sport.
  • C. hasPartnerInSport
    Indicates that one entity has another entity as a partner with whom they jointly participate in a sport or sporting activity.
  • D. playedInTournament
    Indicates that an entity participated as a competitor or player in a specific tournament.
  • E. didNotPlayInTournament
    Indicates that the specified entity did not participate as a player in the referenced tournament.
  • F. None of above.

Provenance (6 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_69f34936e1748190b797e406e4e9293a completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cd126fcc8190aa1f1f146e45ec0c completed May 3, 2026, 4:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3515f97c308190a4ee18577efb98a5 completed June 19, 2026, 10:12 a.m.
NEDg Description generation batch_6a35168b3bec8190983d5bac831c45ae completed June 19, 2026, 10:14 a.m.
NED2 Entity disambiguation (via description) batch_6a35191798188190b1738ac2d2e5e2fd completed June 19, 2026, 10:25 a.m.
PD Predicate disambiguation batch_69f6cc1470808190b70cdfd7a6395670 completed May 3, 2026, 4:16 a.m.
Created at: May 1, 2026, 1:12 a.m.