Triple

T21077564
Position Surface form Disambiguated ID Type / Status
Subject William McGonagall E519278 entity
Predicate name P16 FINISHED
Object William McGonagall NE NERFINISHED

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 McGonagall | Statement: [William McGonagall, name, William McGonagall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William McGonagall
Context triple: [William McGonagall, name, William McGonagall]
  • A. William McGonagall chosen
    William McGonagall was a 19th-century Scottish weaver-turned-poet, widely regarded as one of the worst published poets in the English language.
  • B. Robert McGonagall
    Robert McGonagall is a minor character in the Harry Potter series, known primarily as the Muggle father of Professor Minerva McGonagall.
  • C. Harry Goode
    Harry Goode was a pioneering computer scientist and engineer recognized for his influential contributions to the early development of information processing and systems engineering.
  • D. George Spell
    George Spell was an American child actor best known for his leading role in the 1972 Disney film "The Biscuit Eater."
  • E. H. C. Potter
    H. C. Potter was an American film director known for his work in Hollywood during the 1930s and 1940s, including several notable comedies and dramas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d77b8081908ecfb05ab391fd39 completed April 21, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:49 p.m.