Triple
T37870175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C’mon C’mon |
E944583
|
entity |
| Predicate | characterOccupationOfJohnny |
P158712
|
FINISHED |
| Object | radio journalist |
—
|
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: radio journalist | Statement: [C’mon C’mon, characterOccupationOfJohnny, radio journalist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterOccupationOfJohnny Context triple: [C’mon C’mon, characterOccupationOfJohnny, radio journalist]
-
A.
creativeRoleOfJohnnyPate
Indicates that Johnny Pate had a specific creative role or function in relation to the associated work or entity.
-
B.
FrankOccupation
Indicates that a person’s occupation or job role is Frank.
-
C.
characterFormerOccupation
Indicates that a character previously held a specific occupation but no longer does.
-
D.
sonOccupation
Indicates that a specified occupation is the job or professional role held by a person's son.
-
E.
otherProtagonistOccupation
chosen
Indicates that another main character in the narrative has a specific occupation or job role.
- 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00053d8004819097ad9cf6431a20a3 |
completed | May 10, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_6a0004b3a82c81908e2bf9a533a93eb6 |
completed | May 10, 2026, 4:08 a.m. |
Created at: May 3, 2026, 4:19 p.m.