Triple
T26962551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyakyusa |
E679083
|
entity |
| Predicate | notableAnthropologist |
P39674
|
FINISHED |
| Object | Monica Wilson |
—
|
NE NERFINISHED |
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: Monica Wilson | Statement: [Nyakyusa, notableAnthropologist, Monica Wilson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAnthropologist Context triple: [Nyakyusa, notableAnthropologist, Monica Wilson]
-
A.
notableHuman
Indicates that the subject is a human who is recognized as notable or significant in some context.
-
B.
notableTheorist
Indicates that the subject is recognized as a significant or influential theorist in relation to the object or specified field.
-
C.
namedPersonNotableFor
Indicates that a person is especially known or recognized for a particular work, role, achievement, or characteristic.
-
D.
notableNationality
Indicates that an entity is notably associated with a particular nationality, often by origin, citizenship, or cultural identity.
-
E.
notableInvestigator
chosen
Indicates that one entity is a distinguished or prominently recognized investigator or researcher associated with another entity.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69ff5b233e9c8190adc06cca0758986b |
completed | May 9, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69ff5a5682108190a006b23c4fcdcc7c |
completed | May 9, 2026, 4:01 p.m. |
Created at: April 27, 2026, 6:32 a.m.