Triple

T1108447
Position Surface form Disambiguated ID Type / Status
Subject Rachel Watson E25538 entity
Predicate harasses P20070 FINISHED
Object Anna Watson E154686 NE FINISHED

How this triple was built (3 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: Anna Watson | Statement: [Rachel Watson, harasses, Anna Watson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Watson
Context triple: [Rachel Watson, harasses, Anna Watson]
  • A. Anna Watson chosen
    Anna Watson is a fictional character known primarily as the rival of Rachel Watson.
  • B. Lacey Chabert
    Lacey Chabert is an American actress and voice actress best known for her roles in the film "Mean Girls," numerous Hallmark Channel movies, and early voice work in animated series.
  • C. Anna Paquin
    Anna Paquin is an Academy Award–winning Canadian-born New Zealand actress known for films such as "The Piano," the "X-Men" series, and the TV series "True Blood."
  • D. Juliette Lewis
    Juliette Lewis is an American actress and singer known for her intense, offbeat performances in films such as "Cape Fear," "Natural Born Killers," and numerous independent productions.
  • E. Dakota Fanning
    Dakota Fanning is an American actress who rose to fame as a child star in films like "I Am Sam" and has since built a diverse career in both mainstream and independent cinema.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: harasses
Context triple: [Rachel Watson, harasses, Anna Watson]
  • A. persecutes chosen
    Indicates that one entity persistently harasses, oppresses, or inflicts suffering on another, often in an unjust or hostile manner.
  • B. haunts
    Indicates that one entity persistently appears in, lingers around, or psychologically troubles another entity or place, often in a recurring or unsettling way.
  • C. discourages
    Indicates an action or influence that deters, dissuades, or reduces the likelihood of someone performing a particular behavior or pursuing a certain outcome.
  • D. threat
    Indicates a relationship where one entity expresses or poses potential harm, danger, or negative consequences toward another entity.
  • E. has
    Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
  • F. None of above.

Provenance (4 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_69a4b9e6134481909f348986a25f65c6 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce55b5748190b54b8205a735ae89 completed March 8, 2026, 1:18 a.m.
PD Predicate disambiguation batch_69a4b749e2a881909ef28745a7d2d917 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:43 p.m.