Triple

T3378879
Position Surface form Disambiguated ID Type / Status
Subject The Greenwood E71131 entity
Predicate inhabitedBy P6481 FINISHED
Object Much the Miller’s Son E13561 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: Much the Miller’s Son | Statement: [The Greenwood, inhabitedBy, Much the Miller’s Son]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Much the Miller’s Son
Context triple: [The Greenwood, inhabitedBy, Much the Miller’s Son]
  • A. Much the Miller's Son chosen
    Much the Miller's Son is a member of Robin Hood’s band of Merry Men, often portrayed as a loyal but somewhat simple outlaw companion in English folklore.
  • B. The Ploughman
    "The Ploughman" is a poem by Scottish national poet Robert Burns, reflecting his characteristic focus on rural life and common folk.
  • C. Tale of the fullers
    Tale of the Fullers is a short comic episode embedded in Apuleius’ *Metamorphoses*, illustrating the everyday lives and humorous misadventures of working-class characters.
  • D. Donde Plowman
    Donde Plowman is an American academic administrator and leadership scholar who serves as the chief executive of the University of Tennessee, Knoxville.
  • E. The Tailor of Gloucester
    The Tailor of Gloucester is a classic children's story by Beatrix Potter about a poor tailor whose work is mysteriously completed by helpful mice on Christmas Eve.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2eacb5c81908071a1dacc9a897a completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3344c0698819082d856d8be7f2c18 completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:14 p.m.