Triple
T37228981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penrod "Penry" Pooch |
E923078
|
entity |
| Predicate | isCanineAlterEgoOf |
P86336
|
FINISHED |
| Object | Hong Kong Phooey |
—
|
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: Hong Kong Phooey | Statement: [Penrod "Penry" Pooch, isCanineAlterEgoOf, Hong Kong Phooey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCanineAlterEgoOf Context triple: [Penrod "Penry" Pooch, isCanineAlterEgoOf, Hong Kong Phooey]
-
A.
animalProtagonist
Indicates that the main character or central figure in a narrative is an animal.
-
B.
hasFictionalAlterEgoOf
chosen
Indicates that one entity is the fictional alter ego, persona, or alternate identity of another entity.
-
C.
usesCaninesFor
Indicates a relationship where an entity employs or relies on its canine teeth for a particular function or activity.
-
D.
sameBreedAs
Indicates that two entities belong to the same breed or variety within a species.
-
E.
lionAttribute
Indicates that one entity has an attribute, property, or characteristic related to a lion in relation to another 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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb4134225081909fd60703b8cae397 |
completed | May 6, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69fb35bf767081908de8345358ca7f44 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.