Triple

T16104513
Position Surface form Disambiguated ID Type / Status
Subject Jacob Esterline E390704 entity
Predicate familyName P18 FINISHED
Object Esterline E594102 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: Esterline | Statement: [Jacob Esterline, familyName, Esterline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esterline
Context triple: [Jacob Esterline, familyName, Esterline]
  • A. Esterline Technologies chosen
    Esterline Technologies is a major aerospace and defense manufacturing company known for producing advanced avionics, sensors, and specialized systems for commercial and military aircraft.
  • B. Sundstrand Corporation
    Sundstrand Corporation was a major American manufacturer of aerospace and industrial products that later became part of Hamilton Sundstrand through a corporate merger.
  • C. Flytronic
    Flytronic is a Polish company specializing in advanced unmanned aerial systems and related technologies for defense and security applications.
  • D. Avco
    Avco is an American aerospace and manufacturing company historically involved in producing aircraft, aerospace components, and transportation equipment.
  • E. Curtiss-Wright Corporation
    Curtiss-Wright Corporation is a major American aerospace and defense company formed from the early aviation pioneers behind the Wright brothers’ and Curtiss aircraft enterprises.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6b91a48190a04648d4cad2c4b1 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba1e4c08190a90f5102e0038056 completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.