Triple
T20826628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Dempsey |
E512717
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dempsey |
—
|
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: Dempsey | Statement: [John Dempsey, familyName, Dempsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dempsey Context triple: [John Dempsey, familyName, Dempsey]
-
A.
Dempsey
chosen
Dempsey is a surname most notably associated with British Army General Sir Miles Dempsey, a senior commander in World War II.
-
B.
Duffy
Duffy is a Welsh soul and pop singer-songwriter best known for her Grammy-winning hit single "Mercy" and her debut album "Rockferry."
-
C.
Duffy
Duffy is the surname of Carol Ann Duffy, the acclaimed Scottish poet and former UK Poet Laureate.
-
D.
Duffy
Duffy is a crime novel written under the pseudonym Dan Kavanagh, known for introducing the bisexual private detective Duffy in a gritty, darkly humorous mystery.
-
E.
Todd Dempsy
Todd Dempsy is the central protagonist of the American sitcom "Outsourced," portrayed as a well-meaning but culturally inexperienced manager sent to run a call center in India.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2fe54608190a061274bf4316610 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.