Triple

T12883381
Position Surface form Disambiguated ID Type / Status
Subject Falstaff’s company E308159 entity
Predicate hasMember P10 FINISHED
Object Doll Tearsheet E285184 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: Doll Tearsheet | Statement: [Falstaff’s company, hasMember, Doll Tearsheet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doll Tearsheet
Context triple: [Falstaff’s company, hasMember, Doll Tearsheet]
  • A. Doll Tearsheet chosen
    Doll Tearsheet is a bawdy prostitute and companion of Falstaff in William Shakespeare’s Henry IV plays, known for her sharp tongue and comic exchanges in the Boar’s Head Tavern.
  • B. Paper Doll
    "Paper Doll" is a song featured on the album "Paradise Valley" by American singer-songwriter John Mayer.
  • C. Paper Doll
    "Paper Doll" is a popular 1942 song made famous by The Mills Brothers, known for its smooth vocal harmonies and enduring status as a pop and jazz standard.
  • D. Rumble Doll
    Rumble Doll is Patti Scialfa’s debut solo album, showcasing her introspective songwriting and roots-rock style.
  • E. Living Doll
    "Living Doll" is a famous episode of the original The Twilight Zone series in which a seemingly sentient talking doll terrorizes a family, becoming one of the show's most iconic horror stories.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fd15888190baf90fc30f2a3e25 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5556fe081909ada9d491b21b17b completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:39 p.m.