Triple
T15675404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Davis |
E377429
|
entity |
| Predicate | creatorOf |
P806
|
FINISHED |
| Object | U.S. Acres |
E1171348
|
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: U.S. Acres | Statement: [Jim Davis, creatorOf, U.S. Acres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U.S. Acres Context triple: [Jim Davis, creatorOf, U.S. Acres]
-
A.
U.S. Acres
chosen
U.S. Acres is an American comic strip created by Jim Davis that humorously follows the lives of a group of barnyard animals.
-
B.
Acme Acres
Acme Acres is the whimsical cartoon town and primary setting of the animated series "Tiny Toon Adventures," inhabited by younger counterparts of classic Looney Tunes characters.
-
C.
Acres International
Acres International was a Canadian engineering and consulting firm known for its work on large-scale infrastructure and hydropower projects worldwide.
-
D.
Felda
Felda is a small river in central Germany that flows through Hesse and Thuringia before joining the Werra.
-
E.
Felda
Felda is a small unincorporated rural community located in Hendry County, Florida, known for its agricultural surroundings.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2c996c8190a9ebe0e92608feaa |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff756b9af48190a634f23ace966ae9 |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 4:16 a.m.