Triple
T4895559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florens |
E109667
|
entity |
| Predicate | ethnoracialStatus |
P27835
|
FINISHED |
| Object | African-descended enslaved person |
—
|
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-descended enslaved person | Statement: [Florens, ethnoracialStatus, African-descended enslaved person]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnoracialStatus Context triple: [Florens, ethnoracialStatus, African-descended enslaved person]
-
A.
ethnicOrigin
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
B.
raceRole
Indicates the specific role, position, or function an entity holds within a race or racing event.
-
C.
representedEthnicFirst
Indicates that an entity served as the first person of a given ethnic group to represent another entity (such as an institution, organization, or jurisdiction).
-
D.
hasEthnicCharacteristic
chosen
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
-
E.
recognizedAsMinorityIn
Indicates that an entity is officially acknowledged or classified as belonging to a minority group within a specified context or jurisdiction.
- 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_69bd4410bbf88190aad50d2451c863d6 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffabccc81909115ece1b04e2061 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2e7b5c8190b8bf9d616dfa24f0 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:28 p.m.