Triple
T23477140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porky's |
E570293
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Porky |
—
|
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: Porky | Statement: [Porky's, mainCharacter, Porky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porky Context triple: [Porky's, mainCharacter, Porky]
-
A.
Porky Pig
chosen
Porky Pig is a classic Warner Bros. Looney Tunes cartoon character known for his stuttered speech and signature line, "Th-th-th-that's all folks!"
-
B.
Porky the Javelina
Porky the Javelina is the costumed javelina mascot that represents Texas A&M University–Kingsville at athletic events and school functions.
-
C.
Pig Pen
Pig Pen is a supporting trucker character from the 1978 action film "Convoy," known for riding with the convoy led by Rubber Duck.
-
D.
Daffy
Daffy is the colloquial nickname given to the British World War II Boulton Paul Defiant turret fighter aircraft.
-
E.
Foghorn Leghorn
Foghorn Leghorn is a loud, fast-talking, Southern-accented cartoon rooster from the Looney Tunes series known for his comedic antics and catchphrases.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74dbea8819085ca84391039e7f7 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:01 p.m.