Triple

T10782080
Position Surface form Disambiguated ID Type / Status
Subject Pollyanna Whittier E254344 entity
Predicate philosophy P11009 FINISHED
Object Glad Game E886440 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: Glad Game | Statement: [Pollyanna Whittier, philosophy, Glad Game]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glad Game
Context triple: [Pollyanna Whittier, philosophy, Glad Game]
  • A. the 'glad game' chosen
    The "glad game" is a cheerful mental exercise from the novel *Pollyanna* in which one deliberately looks for something to be glad about in every situation, no matter how disappointing.
  • B. The Happy Games
    The Happy Games was the official motto of the 1972 Summer Olympics in Munich, reflecting the organizers’ aim to present a cheerful, peaceful image of Germany.
  • C. 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.
  • D. Gladfest
    Gladfest is an annual community festival in Gladstone, Missouri, featuring family-friendly entertainment, food, and local vendors.
  • E. Game for a Laugh
    Game for a Laugh was a popular British television practical-joke and hidden-camera show that aired in the 1980s, known for its light-hearted stunts and audience participation.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732c5618081908f72838ed42ed05c completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84c925088190922b9979cf77d01b completed April 14, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:17 p.m.