Triple

T11986210
Position Surface form Disambiguated ID Type / Status
Subject Michael Barber E285285 entity
Predicate hasWritten P2831 FINISHED
Object The Learning Game E948526 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 Learning Game | Statement: [Michael Barber, hasWritten, The Learning Game]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Learning Game
Context triple: [Michael Barber, hasWritten, The Learning Game]
  • A. The Learning Game chosen
    The Learning Game is an education-focused book by policy expert Sir Michael Barber that explores how to improve schooling systems and student learning outcomes.
  • B. Our Game
    Our Game is a 1995 espionage novel by John le Carré that follows a retired British intelligence officer entangled in a post–Cold War conspiracy involving his former protégé.
  • C. Dare to Learn
    Dare to Learn is the English-language motto of the University of North Carolina at Wilmington, emphasizing a spirit of curiosity and lifelong learning.
  • D. Values of the Game
    Values of the Game is a reflective book by former U.S. senator and NBA player Bill Bradley that uses basketball stories to explore character, ethics, and life lessons.
  • E. The Power Game
    The Power Game is a British television drama series from the 1960s that focuses on high-stakes political and corporate power struggles.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903acbb9081908fe7f8360057785c completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47237c23081909044388ff5dc73b3 completed May 1, 2026, 9:28 a.m.
Created at: April 8, 2026, 9:46 p.m.