Triple

T15974771
Position Surface form Disambiguated ID Type / Status
Subject Stanley Tang E387415 entity
Predicate coFoundedWith P2835 FINISHED
Object Evan Moore E397777 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: Evan Moore | Statement: [Stanley Tang, coFoundedWith, Evan Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evan Moore
Context triple: [Stanley Tang, coFoundedWith, Evan Moore]
  • A. Evan Moore chosen
    Evan Moore is an entrepreneur best known as one of the co-founders of the food delivery platform DoorDash.
  • B. Evan Martin
    Evan Martin is a software engineer known for his work on the Ninja build system and contributions to large-scale C++ development tooling.
  • C. Evan Mast
    Evan Mast is an American musician and producer best known as one half of the electronic duo Ratatat and for his production work with prominent hip-hop artists.
  • D. Evan McPherson
    Evan McPherson is an American football placekicker in the NFL, best known for his clutch postseason performances with the Cincinnati Bengals.
  • E. Evan Roe
    Evan Roe is an American actor best known for playing Jason McCord, the youngest son of the U.S. Secretary of State, on the political drama series "Madam Secretary."
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572c216c81908f2070d2a87609c2 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a1f8d648190b9c6280b875a17e4 completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 4:54 a.m.