Triple

T4429758
Position Surface form Disambiguated ID Type / Status
Subject Robin Hood films E95295 entity
Predicate featuresCharacter P626 FINISHED
Object Will Scarlet E15716 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: Will Scarlet | Statement: [Robin Hood films, featuresCharacter, Will Scarlet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Scarlet
Context triple: [Robin Hood films, featuresCharacter, Will Scarlet]
  • A. Will Scarlet chosen
    Will Scarlet is a legendary member of Robin Hood’s Merry Men, often portrayed as a dashing, hot-headed outlaw skilled with the sword.
  • B. Cad Bane
    Cad Bane is a ruthless Duros bounty hunter from the Star Wars universe, renowned for his cunning, advanced weaponry, and frequent clashes with Jedi and other underworld figures.
  • C. Jack Firebrace
    Jack Firebrace is a compassionate, working-class tunneller in Sebastian Faulks’s World War I novel "Birdsong," whose experiences highlight the human cost of the conflict.
  • D. William Iron Arm
    William Iron Arm was an 11th-century Norman adventurer and military leader who became one of the first Norman rulers in southern Italy, helping establish Norman power in the region.
  • E. Lennox Cato
    Lennox Cato is a British antiques dealer and television expert best known for his appearances on the BBC’s "Antiques Roadshow."
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35569b3388190bdef2568f5dc04ce completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6136caa248190a84423cede1908c3 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:30 p.m.