Triple
T38013451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Jungle Book musical |
E948426
|
entity |
| Predicate | featuresSupportingCharacterSpecies |
P207555
|
FINISHED |
| Object | bear |
—
|
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: bear | Statement: [The Jungle Book musical, featuresSupportingCharacterSpecies, bear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSupportingCharacterSpecies Context triple: [The Jungle Book musical, featuresSupportingCharacterSpecies, bear]
-
A.
associatedCharacterSpecies
Indicates that one entity is related to, or linked with, the species of a particular character.
-
B.
hasFictionalSpeciesTrait
Indicates that a fictional species possesses a particular characteristic, feature, or attribute.
-
C.
fictionalSpecies
Indicates that the subject is a species that exists only in fiction or imaginary works, rather than in real life.
-
D.
characterSpeciesPortrayed
Indicates that a character is portrayed as belonging to a particular species.
-
E.
fictionalPerformerSpecies
Indicates that a performer in a fictional work belongs to, or is characterized as, a particular fictional species.
- 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037df009f4819082e04683e6e8a106 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:20 p.m.