Triple

T671952
Position Surface form Disambiguated ID Type / Status
Subject Maid Marian E12990 entity
Predicate associatedWith P37 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: [Maid Marian, associatedWith, Sherwood Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sherwood Forest
Context triple: [Maid Marian, associatedWith, 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. Forest of Dean
    The Forest of Dean is an ancient woodland and historic royal forest in western England, renowned for its rich wildlife, mining heritage, and scenic walking and cycling trails.
  • C. Barnsdale Forest
    Barnsdale Forest is a historic woodland area in South Yorkshire, England, traditionally associated with the legendary outlaw Robin Hood.
  • D. 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.
  • E. Bagshot Heath
    Bagshot Heath is an extensive area of heathland in Surrey, England, known for its open, sandy terrain, wildlife habitats, and use for military training and outdoor recreation.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a021b908819086f7cfe65def4728 completed March 1, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c39f3e1481908f395cdb19cfd2fc completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:36 p.m.