Triple
T25897459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pasteboard Bandit |
E652508
|
entity |
| Predicate | coWrittenByHarlemRenaissanceFigure |
P47055
|
FINISHED |
| Object | Arna Bontemps |
—
|
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: Arna Bontemps | Statement: [The Pasteboard Bandit, coWrittenByHarlemRenaissanceFigure, Arna Bontemps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coWrittenByHarlemRenaissanceFigure Context triple: [The Pasteboard Bandit, coWrittenByHarlemRenaissanceFigure, Arna Bontemps]
-
A.
writerOfMusicAndLyrics
Indicates that a person is the creator of both the musical composition and the song lyrics for a work.
-
B.
writtenByCulture
Indicates that something (such as a text, work, or artifact) is authored, created, or produced by a particular culture or cultural group.
-
C.
famousWriterAssociated
Indicates a relationship where a well-known or renowned writer is connected or linked to a particular entity (such as a work, place, event, or organization).
-
D.
hasWritingCreditOn
chosen
Indicates that an entity is credited as a writer or co-writer for a particular work or production.
-
E.
literaryAuthor
Indicates that one entity is the author or writer of a literary work represented by the other entity.
- 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_69e7ab3c6cc081908de59bfcc28ec19d |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603856d5081909db825186c4de49e |
completed | May 2, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 22, 2026, 8:23 a.m.