Triple
T10395786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suite from 'Tinker Tailor Soldier Spy' |
E245010
|
entity |
| Predicate | originalMediumOfSourceWork |
P35132
|
FINISHED |
| Object | feature film |
—
|
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: feature film | Statement: [Suite from 'Tinker Tailor Soldier Spy', originalMediumOfSourceWork, feature film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalMediumOfSourceWork Context triple: [Suite from 'Tinker Tailor Soldier Spy', originalMediumOfSourceWork, feature film]
-
A.
originalWorkFrom
Indicates that something is derived, adapted, or based on an earlier original work created by another source.
-
B.
hasOriginalWorkMedium
Indicates that an original creative work is associated with a specific medium or material in which it was first produced.
-
C.
originalPublicationOfWholeWork
Indicates that one entity is the original publication in which an entire work was first made publicly available.
-
D.
originalPublicationForm
chosen
Indicates the format or medium in which a work was first originally published.
-
E.
originalWorkInstanceOf
Indicates that an original work is a specific instance or realization of a more general work, type, or conceptual creation.
- 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_69d4e9cf79348190975d6c1791e3b621 |
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.