Triple
T14539950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diagnosis: Murder |
E341141
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Charlie Schlatter |
E689183
|
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: Charlie Schlatter | Statement: [Diagnosis: Murder, starring, Charlie Schlatter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie Schlatter Context triple: [Diagnosis: Murder, starring, Charlie Schlatter]
-
A.
Charlie Schlatter
chosen
Charlie Schlatter is an American actor and voice actor known for his energetic performances in television, film, and animation, including prominent roles in series like "Diagnosis: Murder" and various animated shows.
-
B.
Charlie Staadecker
Charlie Staadecker is a Seattle businessman and civic leader who ran as a candidate in the 2013 Seattle mayoral election.
-
C.
Johnny Stachela
Johnny Stachela is an American guitarist best known for his work with The Allman Betts Band, where he contributes to their modern Southern rock sound.
-
D.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
-
E.
Charlie Wachtel
Charlie Wachtel is an American screenwriter best known for co-writing the Academy Award–winning film "BlacKkKlansman."
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bd0dd4819094c8b2f2aa6b1c5e |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feadfaddc88190bb1196ace0bfd4ff |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 1:22 a.m.