Triple
T16316815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amber Riley |
E396190
|
entity |
| Predicate | televisionGenreWorkedIn |
P47169
|
FINISHED |
| Object | musical 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: musical comedy | Statement: [Amber Riley, televisionGenreWorkedIn, musical comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionGenreWorkedIn Context triple: [Amber Riley, televisionGenreWorkedIn, musical comedy]
-
A.
televisionWork
Indicates a relationship where a creative work is produced for, broadcast on, or primarily associated with television.
-
B.
hasDirectedTelevision
Indicates that one entity has directed a television production, such as a TV show or episode, involving the other entity.
-
C.
televisionCategory
chosen
Indicates the classification or genre category assigned to a television-related entity (such as a show, channel, or program).
-
D.
playedInTVSeries
Indicates that an entity (typically a person or character) performed or appeared as part of the cast in a particular television series.
-
E.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b1e9988190a1dce9f1ed7031df |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.