Triple

T34198334
Position Surface form Disambiguated ID Type / Status
Subject Marillyn Hewson E877302 entity
Predicate positionHeld P8 FINISHED
Object chairman of Lockheed Martin
The chairman of Lockheed Martin is the top leadership role overseeing the strategic direction and corporate governance of the American aerospace, defense, and security company Lockheed Martin Corporation.
E2085672 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: chairman of Lockheed Martin | Statement: [Marillyn Hewson, positionHeld, chairman of Lockheed Martin]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: chairman of Lockheed Martin
Triple: [Marillyn Hewson, positionHeld, chairman of Lockheed Martin]
Generated description
The chairman of Lockheed Martin is the top leadership role overseeing the strategic direction and corporate governance of the American aerospace, defense, and security company Lockheed Martin Corporation.

Provenance (5 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_69f349af20a4819089ac24d28f2d8112 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7102ae9788190b72c042d09e75cf8 completed May 3, 2026, 9:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36cc87d77481908d89248a342a9da4 completed June 20, 2026, 5:23 p.m.
NEDg Description generation batch_6a36cd2dca188190b21b8e2a18af2b87 completed June 20, 2026, 5:26 p.m.
NED2 Entity disambiguation (via description) batch_6a36cdb7e3c48190982ef46371260e77 completed June 20, 2026, 5:28 p.m.
Created at: May 1, 2026, 1:55 a.m.