Triple

T22538053
Position Surface form Disambiguated ID Type / Status
Subject Herbert Hutner E557207 entity
Predicate familyName P18 FINISHED
Object Hutner
Hutner is a surname most notably associated with Herbert Hutner, an American lawyer, philanthropist, and art collector.
E1542286 NE FINISHED

How this triple was built (4 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: Hutner | Statement: [Herbert Hutner, familyName, Hutner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hutner
Context triple: [Herbert Hutner, familyName, Hutner]
  • A. Munitz
    Munitz is a surname most notably associated with Barry Munitz, an American educator and former university and foundation executive.
  • B. Hanoch
    Hanoch is a biblical figure listed in the Hebrew Bible as one of the descendants of Abraham through Keturah and Midian.
  • C. Tohorot
    Tohorot is a tractate of the Mishnah that deals with the complex laws of ritual purity and impurity.
  • D. Gilyon HaShas
    Gilyon HaShas is a classic Talmudic commentary by Rabbi Akiva Eiger, consisting of incisive marginal notes and analytical glosses on the Talmud.
  • E. Pinhas
    Pinhas is a masculine given name of Hebrew origin, commonly used in Jewish communities and derived from a biblical figure.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hutner
Triple: [Herbert Hutner, familyName, Hutner]
Generated description
Hutner is a surname most notably associated with Herbert Hutner, an American lawyer, philanthropist, and art collector.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hutner
Target entity description: Hutner is a surname most notably associated with Herbert Hutner, an American lawyer, philanthropist, and art collector.
  • A. Munitz
    Munitz is a surname most notably associated with Barry Munitz, an American educator and former university and foundation executive.
  • B. Hanoch
    Hanoch is a biblical figure listed in the Hebrew Bible as one of the descendants of Abraham through Keturah and Midian.
  • C. Tohorot
    Tohorot is a tractate of the Mishnah that deals with the complex laws of ritual purity and impurity.
  • D. Gilyon HaShas
    Gilyon HaShas is a classic Talmudic commentary by Rabbi Akiva Eiger, consisting of incisive marginal notes and analytical glosses on the Talmud.
  • E. Pinhas
    Pinhas is a masculine given name of Hebrew origin, commonly used in Jewish communities and derived from a biblical figure.
  • F. None of above. chosen

Provenance (5 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f2f671c8190b7a7d9b6d0d64a9b completed April 29, 2026, 1:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1de3f350819087fcaf8ab9514673 completed May 18, 2026, 2:10 p.m.
NEDg Description generation batch_6a0b1f835fcc8190863844a260a47ba9 completed May 18, 2026, 2:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0b257ec8a481908bf6c6c0b722e702 completed May 18, 2026, 2:43 p.m.
Created at: April 16, 2026, 8:51 p.m.