Triple
T2993672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miles Dempsey |
E81014
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dempsey |
E81014
|
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: Dempsey | Statement: [Miles Dempsey, familyName, Dempsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dempsey Context triple: [Miles 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.
Alan Dukes
Alan Dukes is an Irish economist and former politician who served as leader of the Fine Gael party and held several senior ministerial roles.
-
C.
Derrick
Derrick is the given name of Derrick Rose, an American professional basketball player and former NBA MVP.
-
D.
Duncan Henderson
Duncan Henderson was an American film producer and production manager known for his work on major Hollywood films including "Master and Commander: The Far Side of the World."
-
E.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99e291e0819089f81c0a7d7a6cd9 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b109061684819086777d3b871c94f8 |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:59 p.m.