Triple
T29023517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clare Kendry |
E737520
|
entity |
| Predicate | spouseIgnorantOf |
P22661
|
FINISHED |
| Object | her Black ancestry |
—
|
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: her Black ancestry | Statement: [Clare Kendry, spouseIgnorantOf, her Black ancestry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseIgnorantOf Context triple: [Clare Kendry, spouseIgnorantOf, her Black ancestry]
-
A.
unknowinglyMarried
Indicates that one person is married to another without being aware of the marital relationship.
-
B.
spouse
Indicates that two entities are married to each other in a legally or socially recognized partnership.
-
C.
spouseInvolvedIn
Indicates that a person's spouse participates in, is associated with, or plays a role in a specified activity, event, or situation.
-
D.
spouseAction
Indicates that one person performs an action toward or on their spouse within the context of a marital relationship.
-
E.
ignorantOf
chosen
Indicates that one entity lacks knowledge or awareness of another entity or of some specific fact, topic, or situation.
- 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_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 28, 2026, 9:51 a.m.