Triple
T13235625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milton Carruth |
E315139
|
entity |
| Predicate | typeOfCreativeWorkEdited |
P96274
|
FINISHED |
| Object | black-and-white films |
—
|
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: black-and-white films | Statement: [Milton Carruth, typeOfCreativeWorkEdited, black-and-white films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCreativeWorkEdited Context triple: [Milton Carruth, typeOfCreativeWorkEdited, black-and-white films]
-
A.
editedBy
Indicates that one entity has revised, modified, or otherwise made editorial changes to another entity.
-
B.
publisherOfEditedWork
Indicates that an entity serves as the publisher responsible for producing and distributing an edited work (such as an edited volume, collection, or anthology).
-
C.
editedIn
Indicates that an entity was modified, revised, or otherwise altered within a particular context, tool, environment, or time frame.
-
D.
genreOfWorkEdited
chosen
Indicates that an entity has served as an editor for a work belonging to a specified genre.
-
E.
genreEdited
Indicates that an entity has been edited or modified to change or refine its genre classification.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d36bdf8819099949b1e0e6902d3 |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:22 p.m.