Triple
T37229158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricochet Rabbit & Droop-a-Long |
E923083
|
entity |
| Predicate | featuresAnthropomorphism |
P147364
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ricochet Rabbit & Droop-a-Long, featuresAnthropomorphism, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresAnthropomorphism Context triple: [Ricochet Rabbit & Droop-a-Long, featuresAnthropomorphism, true]
-
A.
isAnthropomorphic
Indicates that something non-human is given human-like characteristics, form, or behavior.
-
B.
featuresCharacterAnalogOf
Indicates that a work includes a character who serves as an analog, counterpart, or stand-in for another specific character.
-
C.
hasAnthropomorphicAnimals
chosen
Indicates that something features animals with human-like characteristics, behaviors, or roles.
-
D.
isPersonificationOf
Indicates that one entity represents or embodies an abstract concept, quality, or non-human thing in human form.
-
E.
featuresTalkingAnimals
Indicates that the subject includes or depicts animals that can speak or communicate using human language.
- 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_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.