Triple
T31737057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Borowitz |
E810028
|
entity |
| Predicate | writesForGenre |
P97423
|
FINISHED |
| Object | comedy |
—
|
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: comedy | Statement: [Susan Borowitz, writesForGenre, comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writesForGenre Context triple: [Susan Borowitz, writesForGenre, comedy]
-
A.
publishedGenre
Indicates that an entity has been published in, or is associated with, a particular genre.
-
B.
workWrittenFor
Indicates that a creative work was specifically composed, produced, or created for a particular person, group, event, purpose, or medium.
-
C.
genreOfProducedWorks
Indicates that one entity is the genre category to which the works produced by another entity belong.
-
D.
fieldOfWriting
chosen
Indicates that one entity is the domain, genre, or subject area in which another entity writes or produces written work.
-
E.
writesForAudience
Indicates that an agent creates written content intended specifically for a particular audience or readership.
- 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_69f348e0e4908190a884582eca646fb7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 30, 2026, 11:23 p.m.