Triple

T10240871
Position Surface form Disambiguated ID Type / Status
Subject Zhang Yue E243586 entity
Predicate memberOf P10 FINISHED
Object The B Team E39803 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: The B Team | Statement: [Zhang Yue, memberOf, The B Team]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The B Team
Context triple: [Zhang Yue, memberOf, The B Team]
  • A. The B Team chosen
    The B Team is a global nonprofit initiative that brings together business and civil society leaders to promote responsible, sustainable, and inclusive business practices worldwide.
  • B. Team of Teams
    Team of Teams is a leadership and organizational strategy book by retired U.S. General Stanley McChrystal that advocates for flexible, networked structures to improve adaptability in complex environments.
  • C. Take One for the Team
    "Take One for the Team" is a song released as part of Kanye West's GOOD Fridays music series.
  • D. The Fan
    The Fan is a 1996 psychological thriller film about an obsessive baseball fan whose fixation on his favorite player turns dangerously violent.
  • E. The Fan
    The Fan is the popular nickname for Beijing's National Indoor Stadium, a major multi-purpose arena known for hosting events during the 2008 and 2022 Olympic Games.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d21f2ae0819098ac60c828dc9cae completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f780c7808190993e7c37cb4d18a3 completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:24 a.m.