Triple
T26928105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harriet Hemings |
E678136
|
entity |
| Predicate | racePerceptionAfterLeaving |
P39479
|
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: [Harriet Hemings, racePerceptionAfterLeaving, white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: racePerceptionAfterLeaving Context triple: [Harriet Hemings, racePerceptionAfterLeaving, white]
-
A.
influencedPerceptionOf
Indicates that one entity has affected, shaped, or altered how another entity is perceived or understood.
-
B.
perceptionBySelf
Indicates that an entity has a perception, awareness, or sensory experience of itself.
-
C.
mainPerformerAfterLeaving
Indicates that an entity serves as the primary performer in a context or work that occurs after they have left a previous group, role, or affiliation.
-
D.
laterPerception
Indicates that one entity’s perception, awareness, or observation of something occurs after another specified time, event, or perception.
-
E.
hasPublicPerception
chosen
Indicates that an entity is associated with a particular way it is viewed, judged, or regarded by the general public or society.
- 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_69eeeb4cac908190a45956c2993d1cc2 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62012cba4819091bdeb0dab253365 |
completed | May 2, 2026, 4:02 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:10 a.m.