Triple
T13277022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France Gall |
E316216
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gall |
E1014860
|
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: Gall | Statement: [France Gall, familyName, Gall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gall Context triple: [France Gall, familyName, Gall]
-
A.
Gall
Gall was a prominent 19th-century Hunkpapa Lakota war leader known for his key role in the Battle of the Little Bighorn alongside Sitting Bull and Crazy Horse.
-
B.
Gall
chosen
Gall is a Scottish surname historically linked to Clan Gunn, a Highland clan from the far north of Scotland.
-
C.
Gullac
Gullac is a traditional Turkish dessert made from thin cornstarch pastry soaked in sweetened milk and typically garnished with nuts and pomegranate seeds, especially popular during Ramadan.
-
D.
Gulaphallus
Gulaphallus is a genus of small, unusual freshwater and brackish fishes known for their distinctive reproductive morphology and restricted distribution in Southeast Asia.
-
E.
Galga
Galga is a small river in Hungary that serves as a tributary of the Zagyva River.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99042f56c819082440c89c0adc442 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a54ff488190a759b46963c0d842 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:26 p.m.