Triple
T19471541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Giants 1900–1916 |
E487133
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Larry Doyle |
—
|
NE NERFINISHED |
How this triple was built (3 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: Larry Doyle | Statement: [New York Giants 1900–1916, notablePlayer, Larry Doyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Doyle Context triple: [New York Giants 1900–1916, notablePlayer, Larry Doyle]
-
A.
Larry Doyle
Larry Doyle is an American writer and producer known for his work on television comedies and films, including contributions to The Simpsons and various feature screenplays.
-
B.
Stephen Donoghue
Stephen Donoghue is a literary critic and book reviewer known for his prolific online reviews and commentary on contemporary and classic literature.
-
C.
Cormac Wibberley
Cormac Wibberley is an American screenwriter best known for co-writing the action-adventure film "National Treasure" and its sequel with his wife, Marianne Wibberley.
-
D.
Alan Glynn
Alan Glynn is an Irish author best known for his techno-thriller novel "The Dark Fields," which was adapted into the film and TV franchise "Limitless."
-
E.
John Connolly
John Connolly was a real-life FBI agent in Boston notorious for his corrupt relationship with mobster Whitey Bulger, a story dramatized in the film "Black Mass."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larry Doyle Target entity description: Larry Doyle was a prominent early 20th-century Major League Baseball second baseman known for his hitting prowess and leadership, including winning the 1912 National League MVP award.
-
A.
Larry Doyle
Larry Doyle is an American writer and producer known for his work on television comedies and films, including contributions to The Simpsons and various feature screenplays.
-
B.
Stephen Donoghue
Stephen Donoghue is a literary critic and book reviewer known for his prolific online reviews and commentary on contemporary and classic literature.
-
C.
Cormac Wibberley
Cormac Wibberley is an American screenwriter best known for co-writing the action-adventure film "National Treasure" and its sequel with his wife, Marianne Wibberley.
-
D.
Alan Glynn
Alan Glynn is an Irish author best known for his techno-thriller novel "The Dark Fields," which was adapted into the film and TV franchise "Limitless."
-
E.
John Connolly
John Connolly was a real-life FBI agent in Boston notorious for his corrupt relationship with mobster Whitey Bulger, a story dramatized in the film "Black Mass."
- F. None of above. chosen
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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e8d9188190a4939f03bad89add |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.