Triple

T808786
Position Surface form Disambiguated ID Type / Status
Subject Eduardo Saverin E17495 entity
Predicate coFounderWith P2835 FINISHED
Object Andrew McCollum E53038 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: Andrew McCollum | Statement: [Eduardo Saverin, coFounderWith, Andrew McCollum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew McCollum
Context triple: [Eduardo Saverin, coFounderWith, Andrew McCollum]
  • A. Andrew McCollum chosen
    Andrew McCollum is an American entrepreneur and software engineer best known as one of the original co-founders of Facebook.
  • B. Steve Goodrich
    Steve Goodrich is a former American basketball player best known as a standout center for Princeton University in the late 1990s, where he helped lead the Tigers to national prominence.
  • C. Andrew Dunn
    Andrew Dunn is a British cinematographer known for his work on numerous high-profile films and television productions.
  • D. Mike Krieger
    Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
  • E. Sean Kilpatrick
    Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab256cbc8190bf75b5d5e35ff0aa completed March 1, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc5f8bc2081908f7d2435ce43fdc4 completed March 8, 2026, 12:42 a.m.
Created at: March 1, 2026, 7:38 p.m.