Triple
T1093264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dwight Frye |
E24213
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Frye |
E106229
|
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: Frye | Statement: [Dwight Frye, familyName, Frye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frye Context triple: [Dwight Frye, familyName, Frye]
-
A.
Frye
chosen
Frye is a surname of English origin borne by various notable individuals in politics, academia, and the arts.
-
B.
Hoffman
Hoffman is a common German-origin surname borne by numerous notable individuals across fields such as business, entertainment, science, and politics.
-
C.
Poe
Poe is the Baltimore Ravens' raven mascot, named in honor of the famed writer Edgar Allan Poe.
-
D.
Beckett
Beckett is a surname most famously associated with Samuel Beckett, the Irish avant-garde novelist, playwright, and Nobel Prize–winning author of "Waiting for Godot."
-
E.
Darrow
Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99bd06c8190bce1d77b0337b07c |
completed | March 1, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c2c6b048190b603e9562dde65d0 |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:42 p.m.