Triple

T7701360
Position Surface form Disambiguated ID Type / Status
Subject Herta and Paul Amir Building E174502 entity
Predicate namedAfter P63 FINISHED
Object Herta Amir E174502 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: Herta Amir | Statement: [Herta and Paul Amir Building, namedAfter, Herta Amir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herta Amir
Context triple: [Herta and Paul Amir Building, namedAfter, Herta Amir]
  • A. Herta Amir chosen
    Herta Amir is a benefactor whose philanthropy is commemorated through the naming of the Herta and Paul Amir Building.
  • B. Herta Haas
    Herta Haas was a Slovenian communist and partisan who became known as the second wife of Yugoslav leader Josip Broz Tito.
  • C. Leila Gerstein
    Leila Gerstein is an American television writer and producer best known for creating the comedy-drama series "Hart of Dixie."
  • D. Sarah Herzog
    Sarah Herzog was a prominent Jewish community leader and rebbetzin, known especially as the wife of Israel’s second Chief Rabbi, Yitzhak HaLevi Herzog, and matriarch of the influential Herzog family.
  • E. Zohra Lampert
    Zohra Lampert is an American actress known for her nuanced performances in film, television, and theater, including acclaimed roles in 1960s cinema and later cult horror.
  • 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70288d02c819093d6f0e47707d0a3 completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6ab0ab48190b273d07db6d74c33 completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:03 p.m.