Triple

T12498368
Position Surface form Disambiguated ID Type / Status
Subject Teresa Brewer E298750 entity
Predicate notableWork P4 FINISHED
Object "Skinnie Minnie" E390566 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: "Skinnie Minnie" | Statement: [Teresa Brewer, notableWork, "Skinnie Minnie"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "Skinnie Minnie"
Context triple: [Teresa Brewer, notableWork, "Skinnie Minnie"]
  • A. Skinny Minnie chosen
    "Skinny Minnie" is a 1958 rock and roll song by Bill Haley & His Comets that became one of the band's best-known recordings and a staple of early rock music.
  • B. Kizzy
    Kizzy is a memorable character from Alex Haley’s saga "Roots," portrayed as a strong, resilient woman who embodies the struggles and spirit of enslaved African Americans.
  • C. Screaming Mimi
    Screaming Mimi is a member of the vampiric, psychic predator group known as the True Knot in Stephen King’s novel "Doctor Sleep."
  • D. Minx
    Minx is an American comedy-drama television series set in the 1970s publishing world that follows the creation of a pioneering feminist erotic magazine.
  • E. Lil’ Kleine
    Lil’ Kleine is a Dutch rapper and media personality known for his chart-topping hip-hop hits and prominent presence on television talent shows.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfa98348190b9ac164ecdada6fe completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb131608190b34a07a7026b160e completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.