Triple

T23492250
Position Surface form Disambiguated ID Type / Status
Subject Too Many Girls (Broadway production) E570707 entity
Predicate starred P5563 FINISHED
Object Dolly Haas 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: Dolly Haas | Statement: [Too Many Girls (Broadway production), starred, Dolly Haas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dolly Haas
Context triple: [Too Many Girls (Broadway production), starred, Dolly Haas]
  • A. Dolly Haas chosen
    Dolly Haas was a German-born actress and singer known for her work in European cinema and later on Broadway and in American films.
  • B. Christl Haas
    Christl Haas was an Austrian alpine skier and Olympic gold medalist renowned for her dominance in downhill events during the 1960s.
  • C. Tiffy Gerhardt
    Tiffy Gerhardt is a central character in the television drama series "The Unit," known for her role as the outspoken and resilient wife of one of the elite soldiers.
  • D. Mary Haas
    Mary Haas was an influential American linguist renowned for her work on Native American languages and for training a generation of field linguists in the Boasian tradition.
  • E. Emma Körner
    Emma Körner was a German painter from a prominent Dresden family, best known for her portraits and for being the sister of poet and patriot Theodor Körner.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7dd56408190b459077e433ed1c3 completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:05 p.m.