Triple
T4853094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asa Gilbert Eddy |
E108461
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Asa |
E319248
|
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: Asa | Statement: [Asa Gilbert Eddy, givenName, Asa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asa Context triple: [Asa Gilbert Eddy, givenName, Asa]
-
A.
Asa
Asa is the given first name of A. Philip Randolph, the prominent American civil rights leader and labor organizer.
-
B.
Asa
chosen
Asa was a biblical king of Judah known for religious reforms and efforts to abolish idolatry in his kingdom.
-
C.
Asa
Asa is a local government area in Kwara State, Nigeria, known for its predominantly rural communities and agricultural activities.
-
D.
Asa Danforth Jr.
Asa Danforth Jr. was an early American-born land developer and road builder active in Upper Canada in the late 18th and early 19th centuries.
-
E.
Bayard
Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d3b00fc81909bdb95eb9648c907 |
completed | March 20, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5ce33db08190b44b5b0c21d2b850 |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:26 p.m.