Triple
T32194351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mirror |
E822364
|
entity |
| Predicate | hasPossibleMedium |
P114210
|
FINISHED |
| Object | television |
—
|
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: television | Statement: [The Mirror, hasPossibleMedium, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPossibleMedium Context triple: [The Mirror, hasPossibleMedium, television]
-
A.
hasAssociatedMedium
Indicates that one entity is linked to another entity that serves as its medium, format, or channel of expression or transmission.
-
B.
hasAlternativeMedium
Indicates that an entity is available, expressed, or presented in another medium or format as an alternative to its primary one.
-
C.
hasUncertainMedium
chosen
Indicates that the medium or material through which something is expressed, transmitted, or preserved is not clearly known or confidently identified.
-
D.
hasPhysicalMedium
Indicates that one entity serves as the tangible carrier or material form through which another entity exists, is stored, or is transmitted.
-
E.
hasAdaptedMedium
Indicates that an original work has been transformed or adapted into a different medium or format (e.g., book to film, comic to TV series).
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe91383a1c81909266e40c3c3ede6c |
completed | May 9, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69fe8fde094081908f0f121664fbb5c7 |
completed | May 9, 2026, 1:37 a.m. |
Created at: May 1, 2026, 12:35 a.m.