Triple
T28675644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed McMahon’s "Heeere’s Johnny!" introduction of Johnny Carson |
E725853
|
entity |
| Predicate | hasCatchphraseText |
P192137
|
FINISHED |
| Object | "Heeere’s Johnny!" |
—
|
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: "Heeere’s Johnny!" | Statement: [Ed McMahon’s "Heeere’s Johnny!" introduction of Johnny Carson, hasCatchphraseText, "Heeere’s Johnny!"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatchphraseText Context triple: [Ed McMahon’s "Heeere’s Johnny!" introduction of Johnny Carson, hasCatchphraseText, "Heeere’s Johnny!"]
-
A.
hasCatchphraseStatus
Indicates whether an entity’s phrase or expression holds the status of being recognized as a catchphrase.
-
B.
hasCatchphraseStyle
Indicates that an entity’s catchphrase conforms to, or is characterized by, a particular stylistic pattern or manner of expression.
-
C.
characterCatchphrase
Indicates that a particular phrase is commonly and distinctively used by a character as their catchphrase.
-
D.
relatedCatchphrase
Indicates that one entity is a catchphrase that is associated with, used by, or strongly linked to another entity.
-
E.
notableCatchphraseUser
Indicates that the subject is a person who is notably associated with using a particular catchphrase.
- 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
| PDg | Predicate description generation | batch_69fcf82405c88190a19cecf8e9cc272d |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 28, 2026, 5:06 a.m.