Triple
T38551705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snagglepuss |
E925128
|
entity |
| Predicate | firstAppearanceAsSegment |
P97509
|
FINISHED |
| Object | Snooper and Blabber segment of The Quick Draw McGraw Show |
E951833
|
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: Snooper and Blabber segment of The Quick Draw McGraw Show | Statement: [Snagglepuss, firstAppearanceAsSegment, Snooper and Blabber segment of The Quick Draw McGraw Show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearanceAsSegment Context triple: [Snagglepuss, firstAppearanceAsSegment, Snooper and Blabber segment of The Quick Draw McGraw Show]
-
A.
firstAppearancePart
chosen
Indicates that an entity makes its first appearance as a component or segment within a larger work or sequence.
-
B.
firstAppearsAs
Indicates that an entity is introduced or shown in a particular form, role, or identity for the first time in a given context.
-
C.
firstAppearanceAct
Indicates the act in which an entity makes its first appearance within a work or performance.
-
D.
firstStageAppearance
Indicates the event or context in which an entity makes its initial appearance on stage.
-
E.
firstAppearanceEpisode
Indicates the specific episode in which an entity (such as a character or item) is shown or mentioned for the first time.
- F. None of above.
Provenance (4 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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41e03bcfe88190a85e65bfab80301d |
completed | June 29, 2026, 3:02 a.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.