Triple
T32128367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 37th Academy Awards |
E820566
|
entity |
| Predicate | bestShortSubjectCartoons |
P37210
|
FINISHED |
| Object |
The Pink Phink
The Pink Phink is a 1964 animated short film featuring the Pink Panther, notable for its stylish, dialogue-free comedy and iconic Henry Mancini theme music.
|
E1993049
|
NE FINISHED |
How this triple was built (3 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: The Pink Phink | Statement: [37th Academy Awards, bestShortSubjectCartoons, The Pink Phink]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Pink Phink Triple: [37th Academy Awards, bestShortSubjectCartoons, The Pink Phink]
Generated description
The Pink Phink is a 1964 animated short film featuring the Pink Panther, notable for its stylish, dialogue-free comedy and iconic Henry Mancini theme music.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestShortSubjectCartoons Context triple: [37th Academy Awards, bestShortSubjectCartoons, The Pink Phink]
-
A.
bestShortSubjectCartoonProducer
Indicates that the subject is recognized as the top producer of short-format cartoon content featuring or about the given subject.
-
B.
bestShortSubjectCartoonWinner
chosen
Indicates that the subject has won an award for best short cartoon.
-
C.
bestShortSubjectOneReelWinner
Indicates that the subject has won the award for best short subject in the one-reel category.
-
D.
bestShortSubjectComedyWinner
Indicates that the subject is the winner of an award for best short-form comedy.
-
E.
mainCartoonBlock
Indicates that one entity serves as the primary or central cartoon programming block associated with another entity.
- F. None of above.
Provenance (6 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f013555348190900d89904e8582f9 |
completed | June 14, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_6a2f01d797e48190bf1717ba725d7141 |
completed | June 14, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2f02d3ff748190adb82f02b7629721 |
completed | June 14, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 12:29 a.m.