Triple

T1972256
Position Surface form Disambiguated ID Type / Status
Subject Collins Aerospace E42825 entity
Predicate notableClient P7186 FINISHED
Object Lockheed Martin E14436 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: Lockheed Martin | Statement: [Collins Aerospace, notableClient, Lockheed Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lockheed Martin
Context triple: [Collins Aerospace, notableClient, Lockheed Martin]
  • A. Lockheed Martin chosen
    Lockheed Martin is a major American aerospace and defense company known for designing and producing advanced military aircraft, missiles, and space systems.
  • B. Northrop Grumman
    Northrop Grumman is a leading American aerospace and defense technology company known for developing advanced military aircraft, spacecraft, and defense systems.
  • C. Raytheon Company
    Raytheon Company was a major American defense contractor and industrial corporation known for developing advanced military technologies, including missile systems and radar.
  • D. General Dynamics
    General Dynamics is a major American aerospace and defense corporation known for developing advanced military systems, including missiles, submarines, and combat vehicles.
  • E. Northrop
    Northrop is a major American aerospace and defense company known for designing and producing advanced military aircraft and related technologies.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f275408190affa93f8cb6a8184 completed March 7, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69af8342b7688190a626b4f5d3b3807d completed March 10, 2026, 2:34 a.m.
Created at: March 4, 2026, 7:36 p.m.