Triple
T12060177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sylvester & Tweety Mysteries |
E287145
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Hector the Bulldog |
E287146
|
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: Hector the Bulldog | Statement: [The Sylvester & Tweety Mysteries, mainCharacter, Hector the Bulldog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hector the Bulldog Context triple: [The Sylvester & Tweety Mysteries, mainCharacter, Hector the Bulldog]
-
A.
Hector the Bulldog
chosen
Hector the Bulldog is a tough, muscular bulldog character from the Looney Tunes cartoons, often portrayed as a protector of characters like Tweety.
-
B.
Bulldog Hugo
Bulldog Hugo is the pet bulldog of American actress Renée Felice Smith, known to her fans from her role on "NCIS: Los Angeles."
-
C.
Butch the Bulldog
Butch the Bulldog is a classic Disney cartoon character known as Pluto’s tough, antagonistic canine rival.
-
D.
Champ the Bulldog
Champ the Bulldog is the costumed canine mascot representing the University of Minnesota Duluth Bulldogs athletic teams.
-
E.
Spike the Bulldog
Spike the Bulldog is the costumed canine figure that represents Drake University at its athletic events and school functions.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043dbccc8190bf9da181f826f0d8 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a64c8bc8190920c1ed858ea4794 |
completed | May 2, 2026, 2:29 p.m. |
Created at: April 8, 2026, 9:47 p.m.