Triple
T915214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fannie Lou Hamer |
E19752
|
entity |
| Predicate | wasBeaten |
P22900
|
FINISHED |
| Object | Winona, Mississippi jail in 1963 |
—
|
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: Winona, Mississippi jail in 1963 | Statement: [Fannie Lou Hamer, wasBeaten, Winona, Mississippi jail in 1963]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasBeaten Context triple: [Fannie Lou Hamer, wasBeaten, Winona, Mississippi jail in 1963]
-
A.
defeatedBy
Indicates that one entity has been beaten, overcome, or conquered by another in a contest, conflict, or competition.
-
B.
defeat
Indicates that one entity wins against and overcomes another in a contest, conflict, or competition.
-
C.
wonBy
Indicates that a contest, game, or competition is decided in favor of a particular participant or side.
-
D.
wonFor
Indicates that one entity received an award, prize, or recognition specifically on behalf of or representing another entity.
-
E.
winsByKO
Indicates that one competitor defeats another by knocking them out, ending the contest immediately.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b6755c488190b7f7848110e3ea2c |
completed | March 1, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69a4b292d3408190947cbc2f794cf8c5 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b67499708190a65f24d1fd7e4ec5 |
completed | March 1, 2026, 9:58 p.m. |
Created at: March 1, 2026, 7:39 p.m.