Triple
T29023555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Bellew |
E737521
|
entity |
| Predicate | spouseRacePerception |
P180869
|
FINISHED |
| Object | white |
—
|
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: white | Statement: [John Bellew, spouseRacePerception, white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseRacePerception Context triple: [John Bellew, spouseRacePerception, white]
-
A.
spouseEthnicity
Indicates the ethnic background or identity of a person’s spouse.
-
B.
attitudeTowardSpouse
Indicates a person's emotional or evaluative stance toward their spouse within the marital relationship.
-
C.
spouseRecognition
Indicates that one entity formally acknowledges another entity as their spouse within a recognized relationship.
-
D.
raceOpponentOfSpouse
Indicates that one person participates in a race against the spouse of another person.
-
E.
spouseCharacterization
Indicates how one spouse describes, evaluates, or characterizes the other spouse within their relationship.
- F. None of above. chosen
Provenance (4 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_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
| PDg | Predicate description generation | batch_69f75788d40c819083bf2567b3091585 |
completed | May 3, 2026, 2:11 p.m. |
Created at: April 28, 2026, 9:51 a.m.