Triple
T17339980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avco |
E421040
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Textron |
—
|
NE ONNED1 |
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: Textron | Statement: [Avco, successor, Textron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Textron Context triple: [Avco, successor, Textron]
-
A.
Textron
chosen
Textron is a diversified American industrial conglomerate best known for its aerospace, defense, and industrial products, including brands like Bell, Cessna, and Beechcraft.
-
B.
Bell Textron
Bell Textron is a major American aerospace manufacturer best known for designing and producing helicopters and tiltrotor aircraft for both military and commercial use.
-
C.
Textron Aviation
Textron Aviation is a major American aircraft manufacturer known for producing Cessna and Beechcraft airplanes for business, general aviation, and special mission use.
-
D.
Textron Systems
Textron Systems is a U.S.-based defense and aerospace technology company that develops and manufactures advanced military systems, unmanned platforms, and related solutions.
-
E.
Spirit AeroSystems
Spirit AeroSystems is one of the world’s largest non-OEM designers and manufacturers of aerostructures for commercial and defense aircraft.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a14ec90819098db2ac0d58a53e1 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019552a0208190bd8bd0f9588911c3 |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.