Triple
T27596085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C.C. Babcock |
E699900
|
entity |
| Predicate | comicFoilTo |
P162730
|
FINISHED |
| Object | Fran Fine |
—
|
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: Fran Fine | Statement: [C.C. Babcock, comicFoilTo, Fran Fine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comicFoilTo Context triple: [C.C. Babcock, comicFoilTo, Fran Fine]
-
A.
comicTrait
Indicates that an entity possesses a humorous or comedic characteristic, quality, or behavior.
-
B.
comicFunction
Indicates a relationship where something serves a humorous or entertainment role, such as providing comedy, comic relief, or a joking purpose within a context.
-
C.
comicBookUniverse
Indicates that multiple comic book characters, stories, or events exist within and are governed by the same fictional continuity or shared narrative world.
-
D.
cultCharacter
Indicates that one entity is a character who is venerated, worshipped, or centrally revered within the cult associated with the other entity.
-
E.
roleInComics
Indicates that an entity holds a specific role or function within the context of comic books or comic-related works.
- 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63058d8208190bc5b33eb5ebeec5c |
completed | May 2, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d14c24c81909e86678c1b5fd429 |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 27, 2026, 2:06 p.m.