Triple
T7589159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Drysdale |
E179691
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Drysdale |
E179691
|
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: Drysdale | Statement: [Don Drysdale, familyName, Drysdale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drysdale Context triple: [Don Drysdale, familyName, Drysdale]
-
A.
Drysdale
chosen
Drysdale is a surname most famously associated with Don Drysdale, a Hall of Fame Major League Baseball pitcher for the Los Angeles Dodgers.
-
B.
Shearer West
Shearer West is a British art historian and academic leader who serves as Vice-Chancellor of the University of Nottingham.
-
C.
Wylie
Wylie is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
-
D.
Rocky Ford
Rocky Ford is a small agricultural city in southeastern Colorado, known historically for its melon production.
-
E.
Chastain
Chastain is a surname most prominently associated with American soccer player Brandi Chastain, known for her pivotal role in the U.S. women's national team.
- 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_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f99991948190af1fb0635895ad94 |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8618d29c4819083e78266af8f2daa |
completed | March 28, 2026, 11:17 p.m. |
Created at: March 27, 2026, 3:52 p.m.