Triple

T7747137
Position Surface form Disambiguated ID Type / Status
Subject Bailey Ndugu E175658 entity
Predicate relative P37 FINISHED
Object Ben Warren E686868 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: Ben Warren | Statement: [Bailey Ndugu, relative, Ben Warren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Warren
Context triple: [Bailey Ndugu, relative, Ben Warren]
  • A. Ben Warren chosen
    Ben Warren is a fictional surgical resident and former anesthesiologist on the television series "Grey's Anatomy" and its spin-off "Station 19."
  • B. Warren Archibald
    Warren Archibald is a Trinidadian former professional footballer best known as a prolific forward in the North American Soccer League during the late 1960s and 1970s.
  • C. Jim Warren
    Jim Warren is an American computer scientist and technology activist best known for founding the West Coast Computer Faire, one of the earliest and most influential personal computer expositions.
  • D. Warren Wells
    Warren Wells was an American professional football wide receiver best known for his standout seasons with the Oakland Raiders in the late 1960s.
  • E. Dan Woolsey
    Dan Woolsey is an entrepreneur and media professional best known as a founder of the African American–focused news and entertainment platform TheGrio.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7038caa64819084f61b42a73c2d8b completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6b95f108190a726bf4c6d77bb62 completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:08 p.m.