Triple

T1108448
Position Surface form Disambiguated ID Type / Status
Subject Rachel Watson E25538 entity
Predicate harasses P20070 FINISHED
Object Tom Watson E132902 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: Tom Watson | Statement: [Rachel Watson, harasses, Tom Watson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Watson
Context triple: [Rachel Watson, harasses, Tom Watson]
  • A. Tom Watson chosen
    Tom Watson is a central character in the psychological thriller film "The Girl on the Train," depicted as the unfaithful ex-husband whose deceit and manipulation drive much of the story’s suspense and mystery.
  • B. Joseph W. Byrns
    Joseph W. Byrns was an American Democratic politician from Tennessee who served as Speaker of the U.S. House of Representatives in the mid-1930s.
  • C. Lamar Alexander
    Lamar Alexander is an American politician and educator who served as governor of Tennessee, U.S. Secretary of Education, and a long-time U.S. senator.
  • D. Ralph Norman
    Ralph Norman is a Republican politician and businessman serving as the U.S. Representative for South Carolina's 5th congressional district.
  • E. Jim Wright
    Jim Wright was an American Democratic politician from Texas who served as a powerful congressional leader and later Speaker of the U.S. House of Representatives in the 1980s.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bb75eec08190b1d6545e96816d34 completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac9971114c81909769b3ad78b95189 completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:43 p.m.