Triple
T30943622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Cities of America |
E788325
|
entity |
| Predicate | primaryProtagonistRole |
P20969
|
FINISHED |
| Object | Sam Porter Bridges reconnects the UCA |
—
|
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: Sam Porter Bridges reconnects the UCA | Statement: [United Cities of America, primaryProtagonistRole, Sam Porter Bridges reconnects the UCA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryProtagonistRole Context triple: [United Cities of America, primaryProtagonistRole, Sam Porter Bridges reconnects the UCA]
-
A.
mainProtagonist
Indicates that the subject is the central character or primary focus in the narrative of the related work.
-
B.
protagonistIs
Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
-
C.
protagonistType
chosen
Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
-
D.
roleForProtagonist
Indicates the specific narrative or functional role that an entity plays in relation to the story’s main protagonist.
-
E.
ruleOfProtagonist
Indicates that the subject holds governing authority or dominion over the protagonist.
- 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_69f224c180f88190ad177372ee02b7e2 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a03544239d4819087b6c232d6804977 |
completed | May 12, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_6a0353d685688190b01df77fc2f62bf2 |
completed | May 12, 2026, 4:22 p.m. |
Created at: April 29, 2026, 8:53 p.m.