Triple

T566396
Position Surface form Disambiguated ID Type / Status
Subject Much the Miller's Son E13561 entity
Predicate setting P1957 FINISHED
Object Sherwood Forest E12989 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: Sherwood Forest | Statement: [Much the Miller's Son, setting, Sherwood Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sherwood Forest
Context triple: [Much the Miller's Son, setting, Sherwood Forest]
  • A. Sherwood Forest chosen
    Sherwood Forest is a historic royal forest in Nottinghamshire, England, best known as the legendary home and hideout of the outlaw hero Robin Hood and his Merry Men.
  • B. Barnsdale Forest
    Barnsdale Forest is a historic woodland area in South Yorkshire, England, traditionally associated with the legendary outlaw Robin Hood.
  • C. Godalming
    Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
  • D. Rumsey Woods
    Rumsey Woods is a wooded area within Buffalo’s historic park and parkway system, known for its natural landscape and recreational green space.
  • E. Petts Wood
    Petts Wood is a suburban residential area in southeast London known for its commuter links, green spaces, and surrounding ancient woodland.
  • 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_69a4fc81d6d4819090d91560efaa085d completed March 2, 2026, 2:57 a.m.
Created at: March 1, 2026, 7:32 p.m.