Triple

T3157309
Position Surface form Disambiguated ID Type / Status
Subject Ville E66014 entity
Predicate cognateOf P8954 FINISHED
Object William E772 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: William | Statement: [Ville, cognateOf, William]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William
Context triple: [Ville, cognateOf, William]
  • A. William chosen
    William is a common masculine given name of Germanic origin, widely used in English-speaking countries.
  • B. Thomas
    Thomas is the given name of Thomas Cranmer, the 16th-century Archbishop of Canterbury and a leading figure in the English Reformation.
  • C. Thomas
    Thomas, also known as Doubting Thomas, is one of the Twelve Apostles of Jesus in the New Testament, remembered for initially doubting Jesus’ resurrection until he saw and touched Christ’s wounds.
  • D. Thomas
    Thomas is the full given name of Tom Thibodeau, an American professional basketball coach known for his defensive-minded teams in the NBA.
  • E. Thomas
    Thomas, also known as Doubting Thomas, was one of Jesus Christ’s Twelve Apostles, remembered for initially doubting the Resurrection until he saw and touched Jesus’ wounds.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5ec0da88190a83f3448ac76e98e completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b225068444819080e2b8b6b1260613 completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.