Triple
T1032148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Vincent DuMond |
E22275
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | DuMond |
E22275
|
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: DuMond | Statement: [Frank Vincent DuMond, familyName, DuMond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DuMond Context triple: [Frank Vincent DuMond, familyName, DuMond]
-
A.
Dwan
Dwan is the female lead character in the 1976 remake of King Kong, portrayed as the shipwrecked aspiring actress who forms a unique bond with the giant ape.
-
B.
Frank Vincent DuMond
chosen
Frank Vincent DuMond was an influential American painter and long-time art instructor known for his landscape and figure painting as well as his impact on generations of students.
-
C.
Lamon
Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
-
D.
Dayman
Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
-
E.
Daboll
Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b811916481908c05c2dd5ec802ec |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bbf5a1c819086e1ff529d05f311 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.