Triple

T13348441
Position Surface form Disambiguated ID Type / Status
Subject Theodore Long E318014 entity
Predicate name P16 FINISHED
Object Theodore Long E318014 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: Theodore Long | Statement: [Theodore Long, name, Theodore Long]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theodore Long
Context triple: [Theodore Long, name, Theodore Long]
  • A. Theodore Long chosen
    Theodore Long is a former professional wrestling manager and on-screen authority figure best known for his long tenure as the General Manager of WWE SmackDown.
  • B. John Carroll
    John Carroll was an American Catholic clergyman who became the first bishop (and later archbishop) of the United States and a pioneering leader in establishing Catholic education and institutions in the new nation.
  • C. John Carroll
    John Carroll was an American film actor and singer active in the mid-20th century, known for his roles in Westerns and adventure films.
  • D. Orator Francis Woodward
    Orator Francis Woodward was an American businessman and marketer best known for transforming Jell-O into a nationally popular dessert brand in the early 20th century.
  • E. Tom Dugan
    Tom Dugan was an American character actor of the early 20th century, known for his numerous supporting roles in Hollywood films.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8b28e48190a23194e03a74b41b completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f45c9788190b60095c0d6e2f763 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.