Triple

T20980549
Position Surface form Disambiguated ID Type / Status
Subject Miss Adelaide E516746 entity
Predicate notableSong P4 FINISHED
Object Sue Me 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: Sue Me | Statement: [Miss Adelaide, notableSong, Sue Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sue Me
Context triple: [Miss Adelaide, notableSong, Sue Me]
  • A. Sue Me chosen
    "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.
  • 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’s Gotta Be Mine
    "Sue’s Gotta Be Mine" is a 1963 rock and roll single by Del Shannon, known for its upbeat tempo and catchy, melodic hook.
  • D. Waiting for Susie
    "Waiting for Susie" is a song by the punk rock band SNFU from their 1986 album *How to Make Enemies and Irritate People*.
  • E. I Hate Suzie
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbdd89f48190b58c67cc1f7968c0 completed April 21, 2026, 4:23 a.m.
Created at: April 16, 2026, 1:47 p.m.