Triple
T11597131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvester the Cat |
E275032
|
entity |
| Predicate | notableShort |
P99035
|
FINISHED |
| Object | Tweetie Pie |
E56471
|
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: Tweetie Pie | Statement: [Sylvester the Cat, notableShort, Tweetie Pie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tweetie Pie Context triple: [Sylvester the Cat, notableShort, Tweetie Pie]
-
A.
Tweety
chosen
Tweety is a small, yellow canary from the Looney Tunes cartoons, best known for outsmarting Sylvester the Cat with a deceptively cute demeanor.
-
B.
Tootie
Tootie is a nerdy, braces-wearing girl in the animated series "The Fairly OddParents," best known for her obsessive crush on Timmy Turner and her over-the-top, energetic personality.
-
C.
Tootie
Tootie is a fictional character best known as the spirited youngest daughter, Agnes "Tootie" Smith, from the classic 1944 film "Meet Me in St. Louis."
-
D.
Tiffy
Tiffy is a common nickname or diminutive form of the given name Tiffany.
-
E.
Pookie
Pookie is a tragic, crack-addicted informant character from the 1991 crime film "New Jack City," portrayed by Chris Rock.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89549c870819086e16e9110bbad87 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a7cad108819082eebb3ca130f5b8 |
completed | April 22, 2026, 10:49 a.m. |
Created at: April 8, 2026, 9:38 p.m.