Triple

T22616488
Position Surface form Disambiguated ID Type / Status
Subject Andrea Goldsmith E558161 entity
Predicate name P16 FINISHED
Object Andrea Goldsmith 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: Andrea Goldsmith | Statement: [Andrea Goldsmith, name, Andrea Goldsmith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrea Goldsmith
Context triple: [Andrea Goldsmith, name, Andrea Goldsmith]
  • A. Andrea Goldsmith chosen
    Andrea Goldsmith is an American electrical engineer and academic renowned for her pioneering contributions to wireless communications and information theory.
  • B. Robert E. Blahut
    Robert E. Blahut is an American electrical engineer and information theorist known for his influential contributions to coding theory, including the Blahut–Arimoto algorithm, and for authoring foundational texts in the field.
  • C. Thomas M. Cover
    Thomas M. Cover was an influential American information theorist and Stanford professor known for his foundational contributions to information theory, statistics, and machine learning.
  • D. Don Towsley
    Don Towsley is a prominent computer scientist known for his influential contributions to computer networking and performance evaluation.
  • E. Robert G. Gallager
    Robert G. Gallager is an American electrical engineer and information theorist renowned for his foundational contributions to coding theory and data communications.
  • 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f167eeb220819082c90a8bd3cadc4c completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:59 p.m.