Triple

T23443808
Position Surface form Disambiguated ID Type / Status
Subject Jane Tranter E565478 entity
Predicate notableWork P4 FINISHED
Object I Hate Suzie E896783 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: I Hate Suzie | Statement: [Jane Tranter, notableWork, I Hate Suzie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Hate Suzie
Context triple: [Jane Tranter, notableWork, I Hate Suzie]
  • A. I Hate Suzie chosen
    I Hate Suzie is a British dark comedy-drama television series that follows a former child star whose life unravels after a phone hack exposes her private photos.
  • B. Sue Me
    "Sue Me" is a pop song by American singer Sabrina Carpenter, known for its confident, post-breakup empowerment theme and catchy, upbeat production.
  • C. Sue Me
    "Sue Me" is a well-known duet from the classic Broadway musical *Guys and Dolls*, in which Nathan Detroit and Adelaide argue about their troubled relationship.
  • D. Suzie Baby
    "Suzie Baby" is an early rock and roll single by Bobby Vee that helped launch his recording career in the late 1950s.
  • E. They Keep Killing Suzie
    "They Keep Killing Suzie" is a darkly comedic and emotionally intense episode of the British sci-fi series Torchwood that explores resurrection technology and its psychological consequences.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64717d08190a2c25e7bbfc17a2f completed April 29, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67b7c6b08190a739ee30e51c9f46 completed May 19, 2026, 1:37 p.m.
Created at: April 17, 2026, 5:51 p.m.