Triple
T23540679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C.S. Lee |
E577736
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Monk |
—
|
NE NERFINISHED |
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: Monk | Statement: [C.S. Lee, appearedIn, Monk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monk Context triple: [C.S. Lee, appearedIn, Monk]
-
A.
Monk
chosen
Monk is an American comedy-drama detective television series centered on the brilliant but obsessive-compulsive private investigator Adrian Monk.
-
B.
Monk
Monk is a surname most prominently associated with Art Monk, the Hall of Fame former NFL wide receiver for the Washington Redskins.
-
C.
Uncle Monk
Uncle Monk is an acoustic bluegrass and old-time music duo co-founded by former Ramones drummer Tommy Ramone.
-
D.
Monk Higgins
Monk Higgins was an American saxophonist, composer, and record producer known for his work in soul, jazz, and funk music during the 1960s and 1970s.
-
E.
Monk universe
The Monk universe is the fictional setting of the television series "Monk," centered on obsessive-compulsive detective Adrian Monk and the people in his personal and professional life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1b3a8c8190b5b6a58f0476c5d2 |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.