Triple

T12669671
Position Surface form Disambiguated ID Type / Status
Subject John Wood E302643 entity
Predicate name P16 FINISHED
Object John Wood unclear NED1 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: John Wood | Statement: [John Wood, name, John Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Wood
Context triple: [John Wood, name, John Wood]
  • A. John Wood
    John Wood was a British character actor known for his distinguished stage and screen career, including roles in films such as "Jumpin' Jack Flash" and "WarGames."
  • B. John Wood
    John Wood was an early 19th-century linguist and documenter known for recording and preserving the Nottoway (Cheroenhaka) language.
  • C. John Wood
    John Wood was a British actor active in the early 20th century who appeared in films such as the 1935 historical drama "The Last Days of Pompeii."
  • D. George Tyler Wood
    George Tyler Wood was an American politician who served as the second governor of the state of Texas from 1847 to 1849.
  • E. William Dennis Weaver
    William Dennis Weaver was an American actor best known for his roles in the television series "Gunsmoke" and "McCloud," as well as the film "Duel."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96183a6048190b2ef219eb9d20aa4 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688e101481909bc3b9e13ed84632 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:20 p.m.