Triple
T10335831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordon Gollob |
E242999
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gollob |
E242999
|
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: Gollob | Statement: [Gordon Gollob, familyName, Gollob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gollob Context triple: [Gordon Gollob, familyName, Gollob]
-
A.
Gollob
chosen
Gollob is a surname most notably associated with Gordon Gollob, a distinguished German Luftwaffe fighter ace of World War II.
-
B.
Göd
Göd is a small town in Hungary situated along the Danube River, known for its residential character and proximity to Budapest.
-
C.
Goytre
Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
-
D.
Gonda
Gonda is a city in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the Ghaghara River.
-
E.
Bavier
Bavier is the surname of Frances Bavier, the American actress best known for playing Aunt Bee on the classic television series "The Andy Griffith Show."
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4dfc425748190a3d29f81e32e948b |
completed | April 7, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7505b85048190ad69a4fb5c63c677 |
completed | April 9, 2026, 7:08 a.m. |
Created at: April 6, 2026, 11:53 a.m.