Triple
T4847409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fannie Lou Hamer |
E108324
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Fannie |
E45356
|
NE 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: Fannie | Statement: [Fannie Lou Hamer, givenName, Fannie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fannie Context triple: [Fannie Lou Hamer, givenName, Fannie]
-
A.
Fannie
chosen
Fannie is a feminine given name, often used in English-speaking countries and historically associated with figures such as the American cookbook author Fannie Farmer.
-
B.
Doris
Doris is the given name of Doris Buffett, an American philanthropist and sister of investor Warren Buffett, known for her charitable work and focus on direct, person-to-person giving.
-
C.
Doris
Doris is an Oceanid from Greek mythology, known as the wife of the sea god Nereus and mother of the Nereids.
-
D.
Doris
Doris was the first wife of Herod the Great and the mother of his son Antipater in the Herodian royal family.
-
E.
Lucille
Lucille is the famous black Gibson guitar closely associated with blues legend B.B. King, who named all his guitars by this name.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d1aefdc8190910b78615730f991 |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cd6dbcc8190b802eeb6d74fd37d |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:25 p.m.