Triple
T37226363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quiet Please! |
E923013
|
entity |
| Predicate | hasSpeciesOfCharacter |
P74771
|
FINISHED |
| Object | cat |
—
|
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: cat | Statement: [Quiet Please!, hasSpeciesOfCharacter, cat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpeciesOfCharacter Context triple: [Quiet Please!, hasSpeciesOfCharacter, cat]
-
A.
belongsToSpecies
Indicates that an individual organism is a member of, or classified under, a particular biological species.
-
B.
hasSpeciesRole
Indicates that an entity plays a specific functional or categorical role within a particular species.
-
C.
associatedCharacterSpecies
chosen
Indicates that one entity is related to, or linked with, the species of a particular character.
-
D.
hasMemberOfSpecies
Indicates that an entity includes, contains, or is associated with one or more individuals belonging to a specified species.
-
E.
hasSpeciesRelation
Indicates a biological or taxonomic relationship between entities based on their species classification.
- 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_69fee25dbca481909e6f1c255122b3a8 |
completed | May 9, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69fee1c8915c8190b08b63e42881f1a9 |
completed | May 9, 2026, 7:27 a.m. |
Created at: May 3, 2026, 4:15 p.m.