Triple
T32295307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzy Elmiger |
E825075
|
entity |
| Predicate | roleInBreakfastOfChampions |
P42172
|
FINISHED |
| Object | editor |
—
|
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: editor | Statement: [Suzy Elmiger, roleInBreakfastOfChampions, editor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBreakfastOfChampions Context triple: [Suzy Elmiger, roleInBreakfastOfChampions, editor]
-
A.
roleOfCharacter
Indicates that one entity serves as the narrative or functional role played by a character within a story, scenario, or context.
-
B.
playsInRole
chosen
Indicates that an entity performs or appears in a specific role within a production, event, or context.
-
C.
roleInGigantomachy
Indicates the specific part or function an entity played in the mythological conflict known as the Gigantomachy.
-
D.
GameOfThronesRole
Indicates that one entity plays, voices, or otherwise portrays a character in the television series "Game of Thrones" in relation to another entity.
-
E.
roleInSeason
Indicates the specific role or function an entity has within a particular season of a series or competition.
- 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a001adc8c108190ab3a43f6415e2be3 |
completed | May 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_6a001a290330819097c2c3123f9014b4 |
completed | May 10, 2026, 5:39 a.m. |
Created at: May 1, 2026, 12:44 a.m.