Triple
T4002491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asa Griggs Candler |
E89446
|
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 Griggs Candler, givenName, Asa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asa Context triple: [Asa Griggs Candler, givenName, Asa]
-
A.
Asa
chosen
Asa was a biblical king of Judah known for religious reforms and efforts to abolish idolatry in his kingdom.
-
B.
Asa
Asa is the given first name of A. Philip Randolph, the prominent American civil rights leader and labor organizer.
-
C.
Asa
Asa is a local government area in Kwara State, Nigeria, known for its predominantly rural communities and agricultural activities.
-
D.
Bayard
Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
-
E.
Bayard
Bayard is a small town in Grant County, West Virginia, known historically as a coal and timber community in the Appalachian region.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa44125881909f45ecd0a986c581 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c5e95b88190a8b5234b18d7b769 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:34 p.m.