Triple
T14182104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Women and The Men |
E351479
|
entity |
| Predicate | notableAuthorCharacteristic |
P89076
|
FINISHED |
| Object | Black woman poet |
—
|
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 woman poet | Statement: [The Women and The Men, notableAuthorCharacteristic, Black woman poet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAuthorCharacteristic Context triple: [The Women and The Men, notableAuthorCharacteristic, Black woman poet]
-
A.
hasAuthorCharacteristic
chosen
Indicates that an author possesses a particular attribute, trait, or quality.
-
B.
notableAuthorConcept
Indicates that an author is notably associated with, influential in, or prominently recognized for work related to a particular concept.
-
C.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
D.
notableWorkAspect
Indicates a specific characteristic, feature, or component that is a significant or defining part of a notable work.
-
E.
notableWorkStyle
Indicates a stylistic characteristic or distinctive manner associated with a notable work created by the subject.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61ca3ad88190944850c97760dcbf |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:02 a.m.