Triple
T27523194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delta Sigma Theta Sorority, Inc. |
E694766
|
entity |
| Predicate | founderType |
P180608
|
FINISHED |
| Object | African American collegiate women |
—
|
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: African American collegiate women | Statement: [Delta Sigma Theta Sorority, Inc., founderType, African American collegiate women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: founderType Context triple: [Delta Sigma Theta Sorority, Inc., founderType, African American collegiate women]
-
A.
founder
Indicates that an entity established, created, or started another entity such as an organization, institution, or company.
-
B.
founderRole
Indicates that an entity serves as a founder in relation to another entity, specifying the role or capacity in which they established it.
-
C.
coFounderOfFounder
Indicates that one entity is a co-founder of another entity who is themselves a founder of something else.
-
D.
founderGender
Indicates the gender identity of the person who founded an organization, company, or entity.
-
E.
founderAlsoKnownAs
Indicates that an individual who is a founder of something is also known by an alternative name or alias.
- 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_69ef538550208190aa9de8e2cb260d93 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f74654c09c819084879162eba9d641 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 27, 2026, 1:22 p.m.