Triple
T17863427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shazad Latif as Ash Tyler |
E446129
|
entity |
| Predicate | speciesInStory |
P7733
|
FINISHED |
| Object | 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: Human | Statement: [Shazad Latif as Ash Tyler, speciesInStory, Human]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speciesInStory Context triple: [Shazad Latif as Ash Tyler, speciesInStory, Human]
-
A.
associatedCharacterSpecies
Indicates that one entity is related to, or linked with, the species of a particular character.
-
B.
speciesInspiredBy
Indicates that one species concept, design, or depiction is modeled after, influenced by, or creatively derived from another species.
-
C.
featuresSpecies
chosen
Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
-
D.
fictionalSpecies
Indicates that the subject is a species that exists only in fiction or imaginary works, rather than in real life.
-
E.
studentSpecies
Indicates that one entity is a student whose biological species is identified by the other entity.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e49791b0c08190b04a426bd274065d |
completed | April 19, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:17 a.m.