Triple
T8316013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shadow Out of Time |
E194707
|
entity |
| Predicate | hasAlternateMedium |
P7961
|
FINISHED |
| Object | radio adaptation |
—
|
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: radio adaptation | Statement: [The Shadow Out of Time, hasAlternateMedium, radio adaptation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternateMedium Context triple: [The Shadow Out of Time, hasAlternateMedium, radio adaptation]
-
A.
hasAssociatedMedium
chosen
Indicates that one entity is linked to another entity that serves as its medium, format, or channel of expression or transmission.
-
B.
hasAlternativeSurface
Indicates that one entity serves as a different or substitute surface option for another entity.
-
C.
hasAlternateCut
Indicates that an entity has an alternative edited version or cut, distinct from its primary or original form.
-
D.
hasAlternateExperience
Indicates that an entity is associated with a different or substitute experience relative to a primary or standard one.
-
E.
hasPhysicalMedium
Indicates that one entity serves as the tangible carrier or material form through which another entity exists, is stored, or is transmitted.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f557a7881908adcf353f7297848 |
completed | March 31, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69cb70bf689c8190a9d9b6b872abf53d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:55 p.m.