Triple
T20651097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Phil Donahue Show |
E507493
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Donahue |
—
|
NE NERFINISHED |
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: Donahue | Statement: [The Phil Donahue Show, alsoKnownAs, Donahue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donahue Context triple: [The Phil Donahue Show, alsoKnownAs, Donahue]
-
A.
Donahue
chosen
Donahue is a surname most notably associated with American actress Elinor Donahue, known for her roles in classic television series.
-
B.
Donohoe
Donohoe is an Irish surname borne by various notable figures in politics, sports, and the arts.
-
C.
Michell
Michell is a given name and surname that functions as a variant spelling of Mitchell.
-
D.
Donati
Donati is an Italian surname most notably associated with Virgil Donati, a renowned drummer and composer known for his technical proficiency in progressive rock and fusion music.
-
E.
Chabot
Chabot is a surname most notably associated with Anthony Chabot, a 19th-century entrepreneur and pioneer in California’s water supply and hydraulic mining industries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af21e87c8190835bf2b2ef195626 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.