Triple
T15753459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roald Safran |
E381905
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Safran |
E131994
|
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: Safran | Statement: [Roald Safran, familyName, Safran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safran Context triple: [Roald Safran, familyName, Safran]
-
A.
Safran
chosen
Safran is a major French multinational company specializing in aerospace, defense, and security technologies.
-
B.
Safran Aircraft Engines
Safran Aircraft Engines is a major French aerospace company that designs, develops, and manufactures aircraft and rocket engines for civil and military applications worldwide.
-
C.
Safran Arrius 2B2Plus
The Safran Arrius 2B2Plus is a modern turboshaft engine developed by Safran Helicopter Engines, commonly used to power light twin-engine helicopters.
-
D.
Safran Landing Systems
Safran Landing Systems is a leading global manufacturer and maintainer of aircraft landing gear and braking systems, serving commercial, regional, business, and military aviation markets.
-
E.
Safran Nacelles
Safran Nacelles is a leading aerospace company specializing in the design, integration, and support of aircraft engine nacelles and related propulsion systems.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05031f6a08190bfb333eced0a59a1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff876f005c8190913dec49b839b9f9 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:47 a.m.