Triple
T21481365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilbur |
E530000
|
entity |
| Predicate | friendOf |
P8712
|
FINISHED |
| Object | Templeton |
—
|
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: Templeton | Statement: [Wilbur, friendOf, Templeton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Templeton Context triple: [Wilbur, friendOf, Templeton]
-
A.
Templeton
Templeton is a small unincorporated community in California’s Central Coast wine country, known for its vineyards, rural character, and location between Paso Robles and Atascadero.
-
B.
Templeton
chosen
Templeton is the gluttonous, self-serving rat from E.B. White’s "Charlotte’s Web," known for his comic relief and pivotal role in helping save Wilbur the pig.
-
C.
Talmage
Talmage is a given name and surname of English origin that appears as the middle name of American socialite Madeleine Talmage Force.
-
D.
Blackrock
Blackrock is a coastal suburban town in County Dublin, Ireland, known for its seafront, shopping amenities, and proximity to central Dublin.
-
E.
Blackrock
Blackrock is a coastal village and popular seaside resort in County Louth, Ireland, known for its promenade and views across Dundalk Bay.
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea338f988190a3044f8d02a567fe |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:21 p.m.