Triple
T15275540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nora Dunn |
E365128
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dunn |
E216706
|
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: Dunn | Statement: [Nora Dunn, familyName, Dunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dunn Context triple: [Nora Dunn, familyName, Dunn]
-
A.
Dunn
chosen
Dunn is a surname of English and Irish origin borne by numerous notable individuals across fields such as politics, sports, and the arts.
-
B.
Dortch
Dortch is a surname most notably associated with Helen Dortch Longstreet, an American social reformer, suffragist, and the second wife of Confederate General James Longstreet.
-
C.
Dunnigan
Dunnigan is a small unincorporated community in Yolo County, California, known primarily as a rural agricultural area along Interstate 5.
-
D.
Dunlap
Dunlap is a minor character in the play "Inherit the Wind," appearing as one of the townspeople involved in the trial’s tense, small-town atmosphere.
-
E.
Dunlap
Dunlap is a residential neighborhood in Seattle’s Rainier Valley known for its diverse community and proximity to Lake Washington.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00952731c8190bf6a5e6e10c95b94 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee608217881909c9f7f7c753cf0a8 |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.