Triple
T5193251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Sunday |
E117206
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
George Sunday
George Sunday was one of the children of famed American evangelist and former baseball player Billy Sunday.
|
E502292
|
NE FINISHED |
How this triple was built (4 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: [Billy Sunday, child, George Sunday]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Sunday Context triple: [Billy Sunday, child, George Sunday]
-
A.
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.
-
B.
Robert Bell
Robert Bell is an individual known primarily as the husband of Lily Bell.
-
C.
Charles Green
Charles Green was an Anglican clergyman who became a prominent Welsh bishop and later Archbishop of Wales in the mid-20th century.
-
D.
Charles Green
Charles Green was a British illustrator known for his detailed work in Victorian periodicals and book illustrations.
-
E.
Charles Green
Charles Green was an 18th-century English astronomer who sailed with Captain James Cook to observe the 1769 transit of Venus and conduct astronomical measurements.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: George Sunday Triple: [Billy Sunday, child, George Sunday]
Generated description
George Sunday was one of the children of famed American evangelist and former baseball player Billy Sunday.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Sunday Target entity description: George Sunday was one of the children of famed American evangelist and former baseball player Billy Sunday.
-
A.
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.
-
B.
Robert Bell
Robert Bell is an individual known primarily as the husband of Lily Bell.
-
C.
Charles Green
Charles Green was an Anglican clergyman who became a prominent Welsh bishop and later Archbishop of Wales in the mid-20th century.
-
D.
Charles Green
Charles Green was a British illustrator known for his detailed work in Victorian periodicals and book illustrations.
-
E.
Charles Green
Charles Green was an 18th-century English astronomer who sailed with Captain James Cook to observe the 1769 transit of Venus and conduct astronomical measurements.
- F. None of above. chosen
Provenance (5 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79efd16c8190b0b16278a00baecd |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee0943ce48190838aff0cfd12c655 |
completed | March 21, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69bee5fc0c408190b4ad4b77e0045182 |
completed | March 21, 2026, 6:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee6b954c08190a353ebcfe829888a |
completed | March 21, 2026, 6:43 p.m. |
Created at: March 20, 2026, 1:46 p.m.