Triple
T13051613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gene L. Coon |
E327461
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Coon |
E803988
|
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: Coon | Statement: [Gene L. Coon, familyName, Coon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coon Context triple: [Gene L. Coon, familyName, Coon]
-
A.
Coon
chosen
Coon is a surname of English and German origin borne by various notable individuals, including American actress Carrie Coon.
-
B.
Volpe
Volpe is an Italian surname borne by various notable individuals in politics, sports, and the arts.
-
C.
Badger
Badger is a wise, kind, and somewhat reclusive character from Kenneth Grahame’s "The Wind in the Willows," known for offering guidance and shelter to his woodland friends.
-
D.
Badger
Badger is a small town in central Newfoundland and Labrador, Canada, known historically for its logging industry and proximity to the Exploits River.
-
E.
Badger
Badger is the NATO reporting name for the Soviet-era Tupolev Tu-16, a twin-engine jet strategic bomber widely used during the Cold War.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980b98fa081908cfa92116799e874 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbdcc3e881908d9a246558b1c20e |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:57 p.m.