Triple

T19619462
Position Surface form Disambiguated ID Type / Status
Subject Rob Fergus E470958 entity
Predicate coauthor P2389 FINISHED
Object David Eigen 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: David Eigen | Statement: [Rob Fergus, coauthor, David Eigen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Eigen
Context triple: [Rob Fergus, coauthor, David Eigen]
  • A. David Eigen chosen
    David Eigen is a computer scientist and researcher known for his contributions to deep learning and computer vision, including early work on convolutional neural networks for image understanding.
  • B. Dan Spitz
    Dan Spitz is an American guitarist best known for his work as the lead guitarist of the pioneering thrash metal band Anthrax during their classic era.
  • C. David Grae
    David Grae is a television writer and producer best known for his work on political and legal drama series.
  • D. Maty Siman
    Maty Siman is a technology entrepreneur best known as the founder of the application security company Checkmarx.
  • E. Daniel Bachman
    Daniel Bachman is an American guitarist and composer known for his intricate, atmospheric solo acoustic work in the contemporary folk and American primitive traditions.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e4570c81909fc4f9b871346337 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:43 p.m.