Triple
T6875794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 20th Academy Awards |
E158667
|
entity |
| Predicate | bestShortSubjectCartoonWinner |
P37210
|
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: [20th Academy Awards, bestShortSubjectCartoonWinner, Tweetie Pie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tweetie Pie Context triple: [20th Academy Awards, bestShortSubjectCartoonWinner, 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 fictional character best known as the spirited youngest daughter, Agnes "Tootie" Smith, from the classic 1944 film "Meet Me in St. Louis."
-
C.
Tiffy
Tiffy is a common nickname or diminutive form of the given name Tiffany.
-
D.
Pookie
Pookie is a tragic, crack-addicted informant character from the 1991 crime film "New Jack City," portrayed by Chris Rock.
-
E.
Chick
Chick is the nickname of Chick Gandil, an American baseball player best known as the ringleader of the 1919 Black Sox scandal.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8c9e7b481909079b0f1fb1bc217 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742bd0bfc8190971aa9d8b7e6709d |
completed | March 28, 2026, 2:53 a.m. |
Created at: March 27, 2026, 2:22 p.m.