Triple
T21159964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Arabian Knights |
E521412
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Sergeant Peter O’Gaffney |
—
|
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: Sergeant Peter O’Gaffney | Statement: [Two Arabian Knights, hasCharacter, Sergeant Peter O’Gaffney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sergeant Peter O’Gaffney Context triple: [Two Arabian Knights, hasCharacter, Sergeant Peter O’Gaffney]
-
A.
Sgt. Joe Broadhurst
Sgt. Joe Broadhurst is a supporting police sergeant character on the 1970s American television crime drama "McCloud."
-
B.
Sergeant Daniel Bissell
Sergeant Daniel Bissell was an American Revolutionary War soldier and spy for the Continental Army who conducted dangerous intelligence missions behind British lines.
-
C.
Sergeant John Kinley
Sergeant John Kinley is the U.S. Army Special Forces soldier protagonist of Guy Ritchie's war drama "The Covenant," known for his bond with an Afghan interpreter during the Afghanistan conflict.
-
D.
Sergeant Mack McGowan
Sergeant Mack McGowan is a fictional military non-commissioned officer character featured in the war-themed comic series "The Fighting Marines."
-
E.
Sergeant Max Greevey
Sergeant Max Greevey is a veteran NYPD homicide detective and one of the original main characters on the television series "Law & Order."
- 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: Sergeant Peter O’Gaffney Target entity description: Sergeant Peter O’Gaffney is a comic-relief American soldier character in the 1927 silent war comedy film "Two Arabian Knights."
-
A.
Sgt. Joe Broadhurst
Sgt. Joe Broadhurst is a supporting police sergeant character on the 1970s American television crime drama "McCloud."
-
B.
Sergeant Daniel Bissell
Sergeant Daniel Bissell was an American Revolutionary War soldier and spy for the Continental Army who conducted dangerous intelligence missions behind British lines.
-
C.
Sergeant John Kinley
Sergeant John Kinley is the U.S. Army Special Forces soldier protagonist of Guy Ritchie's war drama "The Covenant," known for his bond with an Afghan interpreter during the Afghanistan conflict.
-
D.
Sergeant Mack McGowan
Sergeant Mack McGowan is a fictional military non-commissioned officer character featured in the war-themed comic series "The Fighting Marines."
-
E.
Sergeant Max Greevey
Sergeant Max Greevey is a veteran NYPD homicide detective and one of the original main characters on the television series "Law & Order."
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252f70888190b8e6109cc4099ecc |
completed | April 21, 2026, 7:20 a.m. |
Created at: April 16, 2026, 2:59 p.m.