Triple
T35067973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Two Favorite People |
E1011782
|
entity |
| Predicate | narrativeRoleOfFinn |
P66317
|
FINISHED |
| Object | supporting protagonist |
—
|
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: supporting protagonist | Statement: [My Two Favorite People, narrativeRoleOfFinn, supporting protagonist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeRoleOfFinn Context triple: [My Two Favorite People, narrativeRoleOfFinn, supporting protagonist]
-
A.
inNarrativeRole
Indicates that one entity participates in relation to another by occupying a specific narrative function or role within a story or discourse.
-
B.
narrativeRoleInSeries
Indicates the specific narrative function or role an entity plays within a particular series or serialized work.
-
C.
narrativeRoleContext
chosen
Indicates the contextual narrative function or role an entity plays within a story or discourse (e.g., protagonist, antagonist, narrator) relative to other elements.
-
D.
narrativeCharacter
Indicates that one entity functions as a character within the narrative or story associated with another entity.
-
E.
narratorRole
Indicates that one entity serves as the narrator of another entity (such as a story, text, or media work), specifying the narrative role or function it performs.
- 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_69f76dd193108190af2528186f25b72a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: May 3, 2026, 4:01 p.m.