Triple

T3128359
Position Surface form Disambiguated ID Type / Status
Subject Hell Hath No Fury E65349 entity
Predicate hasTrack P3284 FINISHED
Object Mr. Me Too E208606 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: Mr. Me Too | Statement: [Hell Hath No Fury, hasTrack, Mr. Me Too]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Me Too
Context triple: [Hell Hath No Fury, hasTrack, Mr. Me Too]
  • A. Mr. Me Too chosen
    "Mr. Me Too" is a 2006 hip-hop single by Clipse featuring Pharrell Williams, known for its minimalist Neptunes production and sharp commentary on trend-chasing and imitation in rap culture.
  • B. Me Too (novel)
    Me Too is a novel whose story inspired the film "All of Me."
  • C. Her Too
    "Her Too" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics.
  • D. Miss Overmore
    Miss Overmore is a governess and one of the key adult figures in Henry James’s novel "What Maisie Knew," embodying the complex moral ambiguities surrounding the child protagonist.
  • E. The Mister
    The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada548123c8190bcfe780c65941585 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235ad86288190850f6c355a187b26 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:04 p.m.