Triple
T20474983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Ashley Sunday |
E502290
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | George Sunday |
—
|
NE NERFINISHED |
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: George Sunday | Statement: [William Ashley Sunday, child, George Sunday]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Sunday Context triple: [William Ashley Sunday, child, George Sunday]
-
A.
George Sunday
chosen
George Sunday was one of the children of famed American evangelist and former baseball player Billy Sunday.
-
B.
Paul Sunday
Paul Sunday is a minor but pivotal character in the film "There Will Be Blood," whose tip about hidden oil reserves sets the story’s central conflict in motion.
-
C.
Robert Bell
Robert Bell was a son of Mabel Gardiner Hubbard, who was the wife of telephone inventor Alexander Graham Bell.
-
D.
Robert Bell
Robert Bell is an individual known primarily as the husband of Lily Bell.
-
E.
Robert Bell
Robert Bell was an 18th-century American printer and publisher known for issuing influential works during the Revolutionary era, including Thomas Paine’s "Common Sense."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6996464448190bdf9cf63c736d6dd |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:34 a.m.