Triple
T27090447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pencil |
E686151
|
entity |
| Predicate | referredPersonGenre |
P41449
|
FINISHED |
| Object | medical drama |
—
|
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: medical drama | Statement: [The Pencil, referredPersonGenre, medical drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referredPersonGenre Context triple: [The Pencil, referredPersonGenre, medical drama]
-
A.
genreOfAssociatedPerson
chosen
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
-
B.
namedForGenre
Indicates that something is given a name based on or derived from a particular genre.
-
C.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
-
D.
usedGenre
Indicates that one entity employs or is associated with a particular genre in its creation, presentation, or classification.
-
E.
influencedByGenre
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
- 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 27, 2026, 8:40 a.m.