Triple
T13609047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norm Peterson |
E325138
|
entity |
| Predicate | catchphrasePattern |
P74838
|
FINISHED |
| Object | “What do you know, Norm?” / “Not enough.” |
—
|
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: “What do you know, Norm?” / “Not enough.” | Statement: [Norm Peterson, catchphrasePattern, “What do you know, Norm?” / “Not enough.”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catchphrasePattern Context triple: [Norm Peterson, catchphrasePattern, “What do you know, Norm?” / “Not enough.”]
-
A.
featuresCatchphrase
Indicates that an entity prominently includes or is associated with a particular catchphrase.
-
B.
petitionPhrase
Indicates that one entity uses a specific phrase or wording to formally request or petition another entity.
-
C.
symbolicPhrase
Indicates a relationship where one entity is represented or expressed by a symbolic phrase associated with another entity.
-
D.
characterCatchphrase
chosen
Indicates that a particular phrase is commonly and distinctively used by a character as their catchphrase.
-
E.
usedPhrase
Indicates that one entity employed or expressed a particular phrase in speech, writing, or another form of communication.
- F. None of above.
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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:50 p.m.