Triple
T14944055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirley Schmidt |
E372606
|
entity |
| Predicate | hasColleague |
P398
|
FINISHED |
| Object | Denny Crane |
E1074704
|
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: Denny Crane | Statement: [Shirley Schmidt, hasColleague, Denny Crane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denny Crane Context triple: [Shirley Schmidt, hasColleague, Denny Crane]
-
A.
Denny Crane
chosen
Denny Crane is a flamboyant, eccentric, and legendary defense attorney portrayed by William Shatner in the legal dramedy series "Boston Legal."
-
B.
Paul Wexler
Paul Wexler was an American character actor known for his distinctive deep voice and frequent roles in mid-20th-century film and television.
-
C.
John Beckett
John Beckett was a British politician who moved from the Labour Party to far-right politics and became a prominent figure in interwar British fascism.
-
D.
Jack McCoy
Jack McCoy is a fictional New York City prosecutor known for his aggressive, morally complex approach to trying cases in the long-running television series "Law & Order."
-
E.
Lt. Daniel Kaffee
Lt. Daniel Kaffee is a young, initially reluctant but sharp-witted U.S. Navy lawyer who becomes determined to uncover the truth in the military courtroom drama "A Few Good Men."
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68d20048190a403af85fe43dede |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9484e8819086ca6a59d672e49d |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:38 a.m.