Triple
T10130268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff MacNelly |
E226319
|
entity |
| Predicate | creatorOf |
P806
|
FINISHED |
| Object | Shoe |
E842734
|
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: Shoe | Statement: [Jeff MacNelly, creatorOf, Shoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shoe Context triple: [Jeff MacNelly, creatorOf, Shoe]
-
A.
Shoe
chosen
Shoe is a satirical comic strip created by cartoonist Jeff MacNelly that centers on anthropomorphic bird characters working in a newsroom.
-
B.
Car Shoe
Car Shoe is an Italian luxury footwear brand renowned for its handcrafted driving moccasins and casual shoes, operating under the Prada Group.
-
C.
Scarpe
The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
-
D.
Sneakers
"Sneakers" is a 1992 comedic heist thriller film about a team of security experts who become entangled in espionage over a powerful code-breaking device.
-
E.
Bota
Bota is a small riverside settlement in the Malaysian state of Perak, situated along the Perak River.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd33438988190be45878f98695816 |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e5ce3fcc8190b1d07dbba34d6bff |
completed | April 5, 2026, 10:44 p.m. |
Created at: March 30, 2026, 9:05 p.m.