Triple
T20148334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selma Ertegun |
E491367
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ertegun |
—
|
NE NERFINISHED |
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: Ertegun | Statement: [Selma Ertegun, familyName, Ertegun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ertegun Context triple: [Selma Ertegun, familyName, Ertegun]
-
A.
Ertegun
chosen
Ertegun is a Turkish surname most prominently associated with Ahmet Ertegun, the influential co-founder of Atlantic Records and a key figure in the development of modern popular music.
-
B.
Sahune
Sahune is a small commune in southeastern France’s Drôme department, known for its scenic setting along the Eygues River amid Provençal landscapes.
-
C.
Charentsavan
Charentsavan is an industrial town and urban community in central Armenia, located in the Kotayk Province.
-
D.
Gürcü Hatun
Gürcü Hatun was a 13th-century Georgian princess who became a prominent Seljuk queen consort through her marriage to Sultan Kaykhusraw II.
-
E.
Garòs
Garòs is a small village in the Val d'Aran region of Catalonia, Spain, known for its traditional Pyrenean architecture and mountain setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a0075c8190a5c4de53a0caa7f6 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.