Triple
T29345622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "I don't get no respect" |
E744163
|
entity |
| Predicate | encapsulatesPersonaOf |
P70717
|
FINISHED |
| Object | Rodney Dangerfield |
—
|
NE NERFINISHED |
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: Rodney Dangerfield | Statement: ["I don't get no respect", encapsulatesPersonaOf, Rodney Dangerfield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encapsulatesPersonaOf Context triple: ["I don't get no respect", encapsulatesPersonaOf, Rodney Dangerfield]
-
A.
ultimatePersona
Indicates that one entity represents the final, most complete, or most authoritative persona or identity of another entity.
-
B.
stagePersonaOf
chosen
Indicates a relationship where one entity is the staged or performed persona, role, or character representation of another entity.
-
C.
hasPersona
Indicates that an entity possesses or is associated with a particular persona, role, or character profile.
-
D.
characterPersona
Indicates that one entity embodies, represents, or assumes the persona, role, or character identity specified by another entity.
-
E.
fictionalPersonaOf
Indicates that one entity is a fictional or narrative persona, alter ego, or character representation of another (typically real or primary) entity.
- 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66957a1f0819094c1be1055b97f47 |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:01 p.m.