Triple

T1404402
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Siebel Newsom E31656 entity
Predicate notableWork P4 FINISHED
Object Fair Play E31660 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: Fair Play | Statement: [Jennifer Siebel Newsom, notableWork, Fair Play]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fair Play
Context triple: [Jennifer Siebel Newsom, notableWork, Fair Play]
  • A. Fair Play chosen
    Fair Play is a documentary film that examines gender inequality in the division of domestic labor and its impact on families and society.
  • B. FairPlay
    FairPlay is Apple’s proprietary digital rights management technology used to protect and control access to media content distributed through its platforms.
  • C. Fair Play Award
    The Fair Play Award is a FIFA Club World Cup honor given to the team that demonstrates the best sportsmanship and disciplinary record during the tournament.
  • D. Friendly Games
    The Friendly Games is an informal name for the Commonwealth Games, an international multi-sport event featuring athletes from the Commonwealth of Nations.
  • E. The Friendly Games
    The Friendly Games is a sporting event or competition series characterized by an emphasis on camaraderie, sportsmanship, and goodwill among participants.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace573b9288190ac91d8f6ea94fa20 completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:59 p.m.