Triple
T30883455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Odd Couple: The Festival |
E786687
|
entity |
| Predicate | hasWriterAssociation |
P29721
|
FINISHED |
| Object | Lowell Ganz |
—
|
NE NERFINISHED |
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: Lowell Ganz | Statement: [The Odd Couple: The Festival, hasWriterAssociation, Lowell Ganz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWriterAssociation Context triple: [The Odd Couple: The Festival, hasWriterAssociation, Lowell Ganz]
-
A.
hasWritingAssociated
Indicates that there is a piece of writing (such as a text, document, or inscription) linked or connected to the given entity.
-
B.
hasAuthorRelationship
chosen
Indicates a relationship where one entity serves as the author or creator of another entity (such as a work, document, or resource).
-
C.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
D.
hasWrittenFor
Indicates that one entity has created written content (such as articles, stories, or texts) for or on behalf of another entity, typically a publication, organization, or platform.
-
E.
hasAuthorOf
Indicates that one entity is the author or creator of another entity (such as a work, document, or publication).
- 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_69f224bae17c8190bb3a6a28e3d019df |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6920402e481909686774789e914ef |
completed | May 3, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:48 p.m.