Triple

T23394149
Position Surface form Disambiguated ID Type / Status
Subject Esterline Technologies E594102 entity
Predicate acquiredBy P347 FINISHED
Object TransDigm Group NE NERFINISHED

How this triple was built (3 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: TransDigm Group | Statement: [Esterline Technologies, acquiredBy, TransDigm Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TransDigm Group
Context triple: [Esterline Technologies, acquiredBy, TransDigm Group]
  • A. Danaher Corporation
    Danaher Corporation is a diversified global science and technology conglomerate known for its portfolio of life sciences, diagnostics, and industrial solutions businesses.
  • B. Cardinal Health
    Cardinal Health is a major American healthcare services and medical products company that distributes pharmaceuticals and medical supplies to hospitals, pharmacies, and other care providers worldwide.
  • C. Amentum
    Amentum is a large American government and defense contractor that provides engineering, logistics, mission support, and technical services to U.S. federal agencies and allied defense organizations.
  • D. United Technologies Corporation
    United Technologies Corporation was a major American multinational conglomerate known for its aerospace and building systems businesses, including Pratt & Whitney and Otis Elevator, before merging with Raytheon Company.
  • E. Esterline Technologies
    Esterline Technologies is a major aerospace and defense manufacturing company known for producing advanced avionics, sensors, and specialized systems for commercial and military aircraft.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TransDigm Group
Target entity description: TransDigm Group is a major American aerospace manufacturing company specializing in highly engineered aircraft components and systems, known for its aggressive acquisition-driven growth strategy.
  • A. Danaher Corporation
    Danaher Corporation is a diversified global science and technology conglomerate known for its portfolio of life sciences, diagnostics, and industrial solutions businesses.
  • B. Cardinal Health
    Cardinal Health is a major American healthcare services and medical products company that distributes pharmaceuticals and medical supplies to hospitals, pharmacies, and other care providers worldwide.
  • C. Amentum
    Amentum is a large American government and defense contractor that provides engineering, logistics, mission support, and technical services to U.S. federal agencies and allied defense organizations.
  • D. United Technologies Corporation
    United Technologies Corporation was a major American multinational conglomerate known for its aerospace and building systems businesses, including Pratt & Whitney and Otis Elevator, before merging with Raytheon Company.
  • E. Esterline Technologies
    Esterline Technologies is a major aerospace and defense manufacturing company known for producing advanced avionics, sensors, and specialized systems for commercial and military aircraft.
  • F. None of above. 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49eb3b881909da7f1c47c67c81f completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:36 p.m.