Triple

T17201195
Position Surface form Disambiguated ID Type / Status
Subject John Ball E417476 entity
Predicate associatedWith P37 FINISHED
Object Wat Tyler E417475 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: Wat Tyler | Statement: [John Ball, associatedWith, Wat Tyler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wat Tyler
Context triple: [John Ball, associatedWith, Wat Tyler]
  • A. Wat Tyler chosen
    Wat Tyler was an English rebel leader who became a symbol of popular resistance to feudal oppression for his role in the 1381 uprising against King Richard II’s government.
  • B. Christian Woodhill
    Christian Woodhill is a fictional character from the television series "Good Behavior."
  • C. Laurence of Ludlow
    Laurence of Ludlow was a wealthy 13th-century wool merchant and landowner in Shropshire, England, known as one of the richest commoners of his time.
  • D. Ralph of Coggeshall
    Ralph of Coggeshall was a 12th–13th century English Cistercian monk and chronicler known for recording unusual and miraculous events, including the story of the Green Children of Woolpit.
  • E. Jeremy Mortimer
    Jeremy Mortimer is a British radio drama producer and director, known for his work with BBC Radio.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42daf2e5c81909c97d2e7a3ed7b88 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01674bfabc8190bff7223e039089cc completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.