Triple
T15565528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitey Ford |
E371104
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Whitey |
E371104
|
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: Whitey | Statement: [Whitey Ford, nickname, Whitey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitey Context triple: [Whitey Ford, nickname, Whitey]
-
A.
Whitey
chosen
Whitey is the nickname of Hall of Fame New York Yankees pitcher Whitey Ford, one of Major League Baseball’s most successful left-handed pitchers.
-
B.
Whitey
Whitey is the nickname of Hall of Fame Major League Baseball manager Whitey Herzog, renowned for his success with the St. Louis Cardinals in the 1980s.
-
C.
Whitey
Whitey was the nickname of Richie Ashburn, a Hall of Fame center fielder best known for his years with the Philadelphia Phillies and later work as a beloved broadcaster.
-
D.
Whitey Marsh
Whitey Marsh is the tough, streetwise orphan who becomes the central reformed youth in the classic 1938 film "Boys Town."
-
E.
Whizzer Brown
Whizzer Brown is a central character in William Finn's musical trilogy "Marvin's Stories" (including Falsettos), known for his complex romantic relationship with Marvin and his poignant struggle with AIDS.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddd753c8190b51eaef433258081 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456a3b08819092f9f517bbef5577 |
completed | May 9, 2026, 2:32 p.m. |
Created at: April 10, 2026, 4:10 a.m.