Triple
T8801439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alex Convery |
E209416
|
entity |
| Predicate | hasGenreOfWorks |
P14417
|
FINISHED |
| Object | sports 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: sports drama | Statement: [Alex Convery, hasGenreOfWorks, sports drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreOfWorks Context triple: [Alex Convery, hasGenreOfWorks, sports drama]
-
A.
belongsToWorkGenre
Indicates that a creative work is classified under or associated with a particular genre.
-
B.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
C.
hasGenreInBibliography
Indicates that a work’s bibliography includes sources belonging to a specified genre.
-
D.
hasGenreInRoles
Indicates that an entity participates in roles associated with a particular genre or set of genres.
-
E.
workedOnGenre
chosen
Indicates that an entity (such as a person or organization) has done work related to 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fb9c5c88190881b069e1face10c |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1f28ec8190a34311cb412920c2 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:44 p.m.