Triple
T29023556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Bellew |
E737521
|
entity |
| Predicate | spouseActualRacialHeritage |
P59312
|
FINISHED |
| Object | Black |
—
|
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: Black | Statement: [John Bellew, spouseActualRacialHeritage, Black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseActualRacialHeritage Context triple: [John Bellew, spouseActualRacialHeritage, Black]
-
A.
spouseEthnicity
chosen
Indicates the ethnic background or identity of a person’s spouse.
-
B.
raceOpponentOfSpouse
Indicates that one person participates in a race against the spouse of another person.
-
C.
spouseAssociatedWith
Indicates a marital or spousal relationship or close association between two entities.
-
D.
spouseBackground
Indicates that one entity provides background information or details about the spouse of another entity.
-
E.
spouseType
Indicates the specific role or category of a person within a spousal relationship (e.g., husband, wife, partner).
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 28, 2026, 9:51 a.m.