Triple
T17463270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Italian Stallion |
E425210
|
entity |
| Predicate | speciesOfSubject |
P17196
|
FINISHED |
| Object | fictional human |
—
|
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: fictional human | Statement: [The Italian Stallion, speciesOfSubject, fictional human]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speciesOfSubject Context triple: [The Italian Stallion, speciesOfSubject, fictional human]
-
A.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
B.
subjectOfDescription
Indicates that the subject is the main entity being described or characterized in a given context or statement.
-
C.
speciesType
chosen
Indicates the specific biological species category to which an entity belongs.
-
D.
subjectOfCatalog
Indicates that something is the primary focus or entry described within a catalog or cataloging record.
-
E.
typeSpecies
Indicates that a species is the designated type species that defines and anchors the taxonomic concept of a higher-level group (such as a genus).
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a4c36c81909c7c4b1b0d976921 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.