Triple

T17274966
Position Surface form Disambiguated ID Type / Status
Subject Nina Hirschfeld E419362 entity
Predicate hasRelative P367 FINISHED
Object Dolly Haas E418260 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: Dolly Haas | Statement: [Nina Hirschfeld, hasRelative, Dolly Haas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dolly Haas
Context triple: [Nina Hirschfeld, hasRelative, 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 (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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4332566c08190b4495dbbfe310ab6 completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180d08c9c8190ae139cd92720028a completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:40 a.m.