Triple
T31215963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tip of the Hat, Wag of the Finger |
E795869
|
entity |
| Predicate | hasCatchphraseElement |
P196905
|
FINISHED |
| Object | phrases emphasizing approval or disapproval |
—
|
LITERAL 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: phrases emphasizing approval or disapproval | Statement: [Tip of the Hat, Wag of the Finger, hasCatchphraseElement, phrases emphasizing approval or disapproval]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatchphraseElement Context triple: [Tip of the Hat, Wag of the Finger, hasCatchphraseElement, phrases emphasizing approval or disapproval]
-
A.
hasCatchphraseText
Indicates that an entity is associated with a specific catchphrase expressed as text.
-
B.
hasCatchphraseStatus
Indicates whether an entity’s phrase or expression holds the status of being recognized as a catchphrase.
-
C.
hasCatchphraseStyle
Indicates that an entity’s catchphrase conforms to, or is characterized by, a particular stylistic pattern or manner of expression.
-
D.
characterCatchphrase
Indicates that a particular phrase is commonly and distinctively used by a character as their catchphrase.
-
E.
hasChorusCatchphrase
Indicates that a work, typically a song or performance, features a recurring, easily recognizable phrase specifically in its chorus section.
- F. None of above. chosen
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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
| PDg | Predicate description generation | batch_69fe6e4801108190a6be6bec2d52a1b9 |
completed | May 8, 2026, 11:14 p.m. |
Created at: April 29, 2026, 9:10 p.m.