Triple

T1942768
Position Surface form Disambiguated ID Type / Status
Subject Avelo Airlines E41591 entity
Predicate keyPerson P256 FINISHED
Object Andrew Levy E222316 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 Levy | Statement: [Avelo Airlines, keyPerson, Andrew Levy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Levy
Context triple: [Avelo Airlines, keyPerson, Andrew Levy]
  • A. Andrew Levy chosen
    Andrew Levy is an American airline executive and entrepreneur best known as the founder of low-cost carrier Avelo Airlines and former executive at major U.S. airlines.
  • B. Eric Rosenbaum
    Eric Rosenbaum is an inventor and designer known for creating playful, creative technology tools that make it easy for people of all ages to experiment with electronics and interactive media.
  • C. Jonathan Teplitzky
    Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
  • D. Andrew Rabinovich
    Andrew Rabinovich is a computer scientist and researcher known for his contributions to computer vision and deep learning, including influential work at Google.
  • E. Andrew Lauren
    Andrew Lauren is an American film producer and actor, known for his work in independent cinema and as a member of the Lauren fashion family.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2fe04688190aa8461ba090c93a0 completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fd173b881909fbd454fc9d7fabb completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:36 p.m.