Triple
T33442779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Larger World Studios |
E856408
|
entity |
| Predicate | mediumWorkedOn |
P47936
|
FINISHED |
| Object | comic books |
—
|
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: comic books | Statement: [A Larger World Studios, mediumWorkedOn, comic books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumWorkedOn Context triple: [A Larger World Studios, mediumWorkedOn, comic books]
-
A.
workedInMedium
chosen
Indicates that an entity carried out work or activities within a particular medium or channel of expression or communication.
-
B.
mediumOfWorkAppearsIn
Indicates that a particular medium or format is the form in which a work is presented or appears.
-
C.
mediaWorkedFor
Indicates that a media-related entity (such as a journalist, reporter, or media professional) was employed by or had a working affiliation with a particular organization or outlet.
-
D.
otherWork
Indicates that one work is related to another work by the same creator, but is distinct from the primary or referenced work.
-
E.
worksFrom
Indicates that an entity performs its work or duties starting from or based at a specified location or source.
- 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_69f34971b75881908be360bb041f003c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e4a4c19c81908acf2da68afec481 |
completed | May 3, 2026, 6:01 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:37 a.m.