Triple
T36144855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal the Monkey |
E1045416
|
entity |
| Predicate | hasAnimalRoleType |
P193572
|
FINISHED |
| Object | scene-stealing sidekick |
—
|
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: scene-stealing sidekick | Statement: [Crystal the Monkey, hasAnimalRoleType, scene-stealing sidekick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnimalRoleType Context triple: [Crystal the Monkey, hasAnimalRoleType, scene-stealing sidekick]
-
A.
hasAnimalActor
Indicates that an animal serves as the acting agent or performer in the specified event or relationship.
-
B.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
-
C.
hasAnimalClass
Indicates that an entity belongs to, or is categorized under, a particular animal class (such as mammal, bird, reptile, etc.).
-
D.
hasSpeciesRole
Indicates that an entity plays a specific functional or categorical role within a particular species.
-
E.
isAnimal
Indicates that the subject entity belongs to the category of animals (i.e., is an animal).
- 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69fd49f612a4819096fe7d5a3bb439ba |
completed | May 8, 2026, 2:27 a.m. |
Created at: May 3, 2026, 4:08 p.m.