Triple
T15466915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pudsey |
E372053
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | PUDSEY |
E372053
|
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: PUDSEY | Statement: [Pudsey, hasPostTown, PUDSEY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PUDSEY Context triple: [Pudsey, hasPostTown, PUDSEY]
-
A.
Petey
Petey is a diminutive nickname commonly used for people named Peter.
-
B.
Pudsey
chosen
Pudsey is a market town in West Yorkshire, England, situated between Leeds and Bradford.
-
C.
Beasley the Dog
Beasley the Dog was the canine actor best known for playing the slobbery Dogue de Bordeaux partner to Tom Hanks in the 1989 film "Turner & Hooch."
-
D.
Yum-Yum
Yum-Yum is a central, comedic soprano role in Gilbert and Sullivan’s operetta "The Mikado," portrayed as a charming young schoolgirl who becomes the love interest of the hero, Nanki-Poo.
-
E.
Shipoopi
"Shipoopi" is a lively, comedic show tune from the classic Broadway musical and film The Music Man, known for its energetic dance number and humorous lyrics about courtship.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f69a31c81909a749247b6615d91 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d01a23c819095cf75b7d5a801a9 |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:33 a.m.