Triple
T6140240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forrest J Ackerman |
E136941
|
entity |
| Predicate | mediaAppearanceType |
P69406
|
FINISHED |
| Object | magazine editorials |
—
|
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: magazine editorials | Statement: [Forrest J Ackerman, mediaAppearanceType, magazine editorials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaAppearanceType Context triple: [Forrest J Ackerman, mediaAppearanceType, magazine editorials]
-
A.
mediaProfile
Indicates a relationship where a media-related profile or account is associated with an entity, typically representing its presence or identity in media contexts.
-
B.
mediaDependentInterface
Indicates that one interface or interaction is contingent on, or varies according to, the characteristics or type of the media involved.
-
C.
mediaTypeOfPresenter
Indicates the type or format of media associated with a given presenter.
-
D.
hasCharacterAppearance
Indicates that a character appears or is visually represented within a given work, scene, or context.
-
E.
appearance
Indicates how something looks or seems to an observer, including its visible form, condition, or outward impression.
- F. None of above. chosen
Provenance (4 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb030fc8190b78e4967eea65611 |
completed | March 22, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69c055f19b0c81908be34a00ab218723 |
completed | March 22, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69c056c87340819088003f427706ebf8 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:15 p.m.