Triple

T566348
Position Surface form Disambiguated ID Type / Status
Subject Merry Men E13560 entity
Predicate hasLeader P981 FINISHED
Object Robin Hood E2428 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: Robin Hood | Statement: [Merry Men, hasLeader, Robin Hood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robin Hood
Context triple: [Merry Men, hasLeader, Robin Hood]
  • A. Robin Hood chosen
    Robin Hood is a legendary English folk hero and outlaw famed for stealing from the rich to give to the poor, typically depicted as a master archer living in Sherwood Forest with his band of Merry Men.
  • B. King Arthur
    King Arthur is the legendary British monarch and central figure of Arthurian mythology, renowned as the noble ruler of Camelot and leader of the Knights of the Round Table.
  • C. Message from the King
    Message from the King is a 2016 neo-noir action thriller film in which Chadwick Boseman stars as a South African man who travels to Los Angeles to avenge his sister’s death.
  • D. Merry Men
    The Merry Men are the legendary band of outlaws who accompany Robin Hood in English folklore, known for robbing the rich to aid the poor.
  • E. Goodwin Knight
    Goodwin Knight was an American Republican politician who served as the 31st governor of California in the 1950s.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b01aca48190944408d066519149 completed March 1, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69a501bdb7cc8190922432fe58cfd6cb completed March 2, 2026, 3:19 a.m.
Created at: March 1, 2026, 7:32 p.m.