Triple
T24544037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Nombuyiselo Noah |
E607170
|
entity |
| Predicate | roleInTrevorNoahLife |
P65533
|
FINISHED |
| Object | primary caregiver |
—
|
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: primary caregiver | Statement: [Patricia Nombuyiselo Noah, roleInTrevorNoahLife, primary caregiver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTrevorNoahLife Context triple: [Patricia Nombuyiselo Noah, roleInTrevorNoahLife, primary caregiver]
-
A.
roleInIndividualLife
chosen
Indicates the specific function, influence, or involvement that one entity has within the personal life or experiences of another entity.
-
B.
roleInSatire
Indicates that an entity serves as a character, target, or contributing element within a satirical work or satirical context.
-
C.
roleInTonyStarkLife
Indicates the specific role or significance an entity has in Tony Stark's life.
-
D.
roleOfCharacter
Indicates that one entity serves as the narrative or functional role played by a character within a story, scenario, or context.
-
E.
roleInTSEliotLife
Indicates the specific role, involvement, or significance an entity had in T. S. Eliot’s life.
- 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:26 a.m.