Triple
T8858517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Carney |
E210823
|
entity |
| Predicate | businessPartner |
P282
|
FINISHED |
| Object | Dan Carney |
E208206
|
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: Dan Carney | Statement: [Frank Carney, businessPartner, Dan Carney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Carney Context triple: [Frank Carney, businessPartner, Dan Carney]
-
A.
Dan Carney
chosen
Dan Carney is an American entrepreneur best known for co-founding the global restaurant chain Pizza Hut.
-
B.
Frank Carney
Frank Carney was an American entrepreneur best known for co-founding the global restaurant chain Pizza Hut.
-
C.
Andrew Carnes
Andrew Carnes is a character in the musical "Oklahoma!", known as the protective father of Ado Annie.
-
D.
Dan Janvey
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
-
E.
Dan Kavanagh
Dan Kavanagh is the crime-fiction pseudonym used by British novelist Julian Barnes for a series of detective novels.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e536648190ba8da1375478c24f |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054339b988190849092f178a7af2c |
completed | April 3, 2026, 11:58 p.m. |
Created at: March 30, 2026, 6:50 p.m.