Triple

T17159623
Position Surface form Disambiguated ID Type / Status
Subject Special Air Service Regiment E416442 entity
Predicate motto P42 FINISHED
Object Who Dares Wins E250979 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: Who Dares Wins | Statement: [Special Air Service Regiment, motto, Who Dares Wins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Who Dares Wins
Context triple: [Special Air Service Regiment, motto, Who Dares Wins]
  • A. Who Dares Wins chosen
    Who Dares Wins is the famous motto associated with the British Special Air Service (SAS), encapsulating their ethos of courage and bold action in the face of danger.
  • B. Power to Win
    "Power to Win" is the official club song of the Port Adelaide Football Club in the Australian Football League.
  • C. The Ultimate Thrill
    The Ultimate Thrill is a 1974 adventure thriller film about a dangerous big-game hunting expedition in the Colorado mountains.
  • D. If You Dare
    "If You Dare" is a hard rock song by AC/DC featured as a track on their 1990 album *The Razors Edge*.
  • E. Challengers
    Challengers is a 2024 romantic sports drama film centered on the intersecting careers and relationships of professional tennis players, starring Zendaya in a leading role and directed by Luca Guadagnino.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f9103e3881908e76cea1c4880779 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148376bc081908372366203a27fa8 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.