Triple
T22892152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tad |
E568068
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Tad Doyle |
—
|
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: Tad Doyle | Statement: [Tad, hasMember, Tad Doyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tad Doyle Context triple: [Tad, hasMember, Tad Doyle]
-
A.
Tad Doyle
chosen
Tad Doyle is an American musician best known as the frontman of the influential grunge band TAD and for his involvement in various Seattle rock projects.
-
B.
Jimmy Doyle
Jimmy Doyle is a fictional New York City narcotics detective best known as the hard-driving protagonist of the crime film "The French Connection."
-
C.
Denny Doherty
Denny Doherty was a Canadian singer and songwriter best known as a founding member and lead vocalist of the 1960s folk-rock group The Mamas & the Papas.
-
D.
Joe Doyle
Joe Doyle is an actor best known for his role in the supernatural horror television series "Salem."
-
E.
Jake Doyle
Jake Doyle is the wisecracking private investigator protagonist of the Canadian television series "Republic of Doyle," set in St. John’s, Newfoundland.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc66dbc81909b31c068d7f2c531 |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.