Triple

T17279925
Position Surface form Disambiguated ID Type / Status
Subject Abigail G. Doyle E419496 entity
Predicate hasAcademicAdvisor P167 FINISHED
Object Eric N. Jacobsen 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: Eric N. Jacobsen | Statement: [Abigail G. Doyle, hasAcademicAdvisor, Eric N. Jacobsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric N. Jacobsen
Context triple: [Abigail G. Doyle, hasAcademicAdvisor, Eric N. Jacobsen]
  • A. Eric N. Jacobsen chosen
    Eric N. Jacobsen is an American chemist renowned for his pioneering work in asymmetric catalysis and chiral catalyst design.
  • B. Eric Jacobsen
    Eric Jacobsen is an American conductor and cellist known for his genre-crossing collaborations and leadership of innovative orchestral and chamber ensembles.
  • C. Eric Jacobson
    Eric Jacobson is an American puppeteer best known for performing several iconic Muppet and Sesame Street characters, including taking over roles originally performed by Frank Oz.
  • D. Christopher Jahnke
    Christopher Jahnke is an American musical theatre orchestrator known for his work on numerous Broadway productions.
  • E. Michael Jaffe
    Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e433286f6c8190bf4a757707707e22 completed April 19, 2026, 1:43 a.m.
Created at: April 10, 2026, 5:40 a.m.