Triple

T21302263
Position Surface form Disambiguated ID Type / Status
Subject Eric Sigler E525096 entity
Predicate coAuthorWith P398 FINISHED
Object Mark Chen 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: Mark Chen | Statement: [Eric Sigler, coAuthorWith, Mark Chen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Chen
Context triple: [Eric Sigler, coAuthorWith, Mark Chen]
  • A. Mark Chen
    Mark Chen is an AI researcher known for co-authoring influential work on large language models alongside Tom B. Brown at OpenAI.
  • B. Charles Wang
    Charles Wang was a Chinese-American businessman best known as the co-founder of Computer Associates and former owner of the NHL’s New York Islanders.
  • C. Kenneth Hsu
    Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
  • D. Kenneth Tsang
    Kenneth Tsang was a prolific Hong Kong actor known for his supporting roles in numerous action and crime films across Hong Kong and Hollywood.
  • E. Eugene Wong
    Eugene Wong is a computer scientist best known for his pioneering contributions to relational database theory and the development of early relational database systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385cd6308190bf300494833b048f completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.