Triple
T25149205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magical Elves |
E630021
|
entity |
| Predicate | producedFormatType |
P34185
|
FINISHED |
| Object | series |
—
|
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: series | Statement: [Magical Elves, producedFormatType, series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedFormatType Context triple: [Magical Elves, producedFormatType, series]
-
A.
hasProductionFormat
chosen
Indicates that an entity is associated with, or presented in, a particular production or media format.
-
B.
producedContentType
Indicates that an entity has created or generated content of a specified type or format.
-
C.
presentedInFormat
Indicates that something is expressed, delivered, or made available using a particular format or representation.
-
D.
hasProductionFormatEligibility
Indicates that something qualifies for or is allowed to use a particular production format.
-
E.
projectionFormat
Indicates the specific technical format or method used to project visual content (such as film or digital media) onto a display surface.
- 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_69e2ff349e408190a6f4a5a66279f54d |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 18, 2026, 6:30 a.m.