Triple
T4626590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Voices |
E101111
|
entity |
| Predicate | featuresTalkingAnimals |
P57514
|
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: [The Voices, featuresTalkingAnimals, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresTalkingAnimals Context triple: [The Voices, featuresTalkingAnimals, true]
-
A.
animalTypeFeatured
Indicates that a particular type or category of animal is highlighted or prominently showcased in a given context.
-
B.
animalForm
Indicates that one entity takes the shape, body, or characteristics of an animal.
-
C.
animalProtagonist
Indicates that the main character or central figure in a narrative is an animal.
-
D.
companionAnimals
Indicates a relationship where one entity keeps or cares for another entity as a pet or companion animal.
-
E.
featuresSpecies
Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a0a7b588190bc6552ee5babb198 |
completed | March 20, 2026, 2:30 p.m. |
| PD | Predicate disambiguation | batch_69bd5231db7c8190b38d4fdbad8bf842 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56b5f4648190834eafa666d53caa |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:13 p.m.