Triple

T22808228
Position Surface form Disambiguated ID Type / Status
Subject Christopher L. Eisgruber E564596 entity
Predicate familyName P18 FINISHED
Object Eisgruber 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: Eisgruber | Statement: [Christopher L. Eisgruber, familyName, Eisgruber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eisgruber
Context triple: [Christopher L. Eisgruber, familyName, Eisgruber]
  • A. Eisgruber chosen
    Eisgruber is the surname of Christopher L. Eisgruber, a constitutional scholar and the president of Princeton University.
  • B. Gruber
    Gruber is a German surname commonly associated with individuals of German-speaking origin and notably recognized in popular culture through characters such as Hans Gruber from the film "Die Hard."
  • C. Rifkind
    Rifkind is a Scottish surname most notably associated with Sir Malcolm Rifkind, a prominent British Conservative politician and former Foreign Secretary.
  • D. Kleindienst
    Kleindienst is a German-language surname most notably associated with Richard G. Kleindienst, a former U.S. Attorney General during the Nixon administration.
  • E. Corwin
    Corwin is a surname most notably associated with Jonathan Corwin, a judge involved in the Salem witch trials in 17th-century Massachusetts.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d5e0b088190ad0b9cc0d5aa1d96 completed April 29, 2026, 3:39 a.m.
Created at: April 17, 2026, 3:32 p.m.