Triple
T10395769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suite from 'The Kite Runner' |
E245009
|
entity |
| Predicate | hasSourceMaterialMedium |
P7961
|
FINISHED |
| Object | cinema |
—
|
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: cinema | Statement: [Suite from 'The Kite Runner', hasSourceMaterialMedium, cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSourceMaterialMedium Context triple: [Suite from 'The Kite Runner', hasSourceMaterialMedium, cinema]
-
A.
hasSourceMaterial
Indicates that something is derived from, based on, or created using a particular source material.
-
B.
hasSourceMaterialGenre
Indicates that the genre of the source material from which something is derived is specified.
-
C.
materialSource
Indicates that one entity serves as the origin or provider of the material or substance used by another entity.
-
D.
sourceMaterialType
Indicates the type or category of material from which something originates or is derived.
-
E.
hasAssociatedMedium
chosen
Indicates that one entity is linked to another entity that serves as its medium, format, or channel of expression or transmission.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9ce6bb08190bfeaba98a126526d |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:06 p.m.