Triple
T29080561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stacy McKee |
E733969
|
entity |
| Predicate | roleOnGrey'sAnatomy |
P151498
|
FINISHED |
| Object | writer |
—
|
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: writer | Statement: [Stacy McKee, roleOnGrey'sAnatomy, writer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOnGrey'sAnatomy Context triple: [Stacy McKee, roleOnGrey'sAnatomy, writer]
-
A.
roleInSeason
Indicates the specific role or function an entity has within a particular season of a series or competition.
-
B.
roleInTheOmegaCode
Indicates that an entity holds a specific role or function within the context of "The Omega Code" (such as its story, production, or related project).
-
C.
hasHumanCharacterRole
Indicates that an entity is assigned a role or function specifically associated with a human character within a context such as a story, performance, or representation.
-
D.
narrativeRoleInSeries
Indicates the specific narrative function or role an entity plays within a particular series or serialized work.
-
E.
creditedRoleOf
chosen
Indicates that a particular role or position is formally acknowledged as being held or performed by a specific entity in a credit or attribution context.
- 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_69f05b0c0f28819086eae6e84f2ae472 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 10:54 a.m.