Triple

T16037211
Position Surface form Disambiguated ID Type / Status
Subject Big Game E388998 entity
Predicate trophy P2890 FINISHED
Object Stanford Axe E20769 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: Stanford Axe | Statement: [Big Game, trophy, Stanford Axe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanford Axe
Context triple: [Big Game, trophy, Stanford Axe]
  • A. Stanford Axe chosen
    The Stanford Axe is the historic trophy awarded to the winner of the college football rivalry game between Stanford University and the University of California, Berkeley.
  • B. Gunnar Scott
    Gunnar Scott is a fictional singer-songwriter and guitarist who serves as one of the central characters on the television drama series "Nashville."
  • C. John Stonehouse
    John Stonehouse was a British Labour politician and former cabinet minister best known for faking his own death in 1974 in an attempt to escape financial and legal troubles.
  • D. Kevin Killen
    Kevin Killen is a renowned recording and mixing engineer best known for his work with artists such as U2, Peter Gabriel, and Kate Bush.
  • E. Ben Staad
    Ben Staad is a loyal and courageous young nobleman who aids Prince Peter in Stephen King’s fantasy novel "The Eyes of the Dragon."
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833da68881908710fb2c28e8c6d0 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd3a1248190ad055892cebde5f0 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:56 a.m.