Triple

T18167478
Position Surface form Disambiguated ID Type / Status
Subject Mrs John Wood E434930 entity
Predicate spouse P13 FINISHED
Object John Wood 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: John Wood | Statement: [Mrs John Wood, spouse, John Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Wood
Context triple: [Mrs John Wood, spouse, 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 a British actor active in the early 20th century who appeared in films such as the 1935 historical drama "The Last Days of Pompeii."
  • C. John Wood
    John Wood was an early 19th-century linguist and documenter known for recording and preserving the Nottoway (Cheroenhaka) language.
  • 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 (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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df52f8b08190ab2c4d76b510cd28 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.