Triple

T3529739
Position Surface form Disambiguated ID Type / Status
Subject Dorian Sagan E74628 entity
Predicate coAuthorWith P398 FINISHED
Object Eric D. Schneider E150129 NE FINISHED

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 D. Schneider | Statement: [Dorian Sagan, coAuthorWith, Eric D. Schneider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric D. Schneider
Context triple: [Dorian Sagan, coAuthorWith, Eric D. Schneider]
  • A. Eric D. Schneider chosen
    Eric D. Schneider was a scientist and author known for his work on thermodynamics and complex systems, particularly in collaboration with Dorion Sagan.
  • B. David Schmaier
    David Schmaier is a technology executive and entrepreneur best known as a co-founder of Siebel Systems, a pioneering customer relationship management (CRM) software company.
  • C. Eric Schneider
    Eric Schneider is a professional ice hockey player best known for his time with the German club Hannover Scorpions in the Deutsche Eishockey Liga.
  • D. Michael T. Sauer
    Michael T. Sauer was an American judge best known for presiding over high-profile criminal cases in Los Angeles County.
  • E. Norbert J. Schneider
    Norbert J. Schneider is a composer best known for his film score work, including the music for the 1993 war film "Stalingrad."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc9764a881908aa8d25dc9adf59e completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48823ca248190a34d2d0eb3a496a7 completed March 13, 2026, 9:56 p.m.
Created at: March 8, 2026, 3:19 p.m.