Triple
T23560920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Mutchnick |
E579233
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Max Mutchnick |
—
|
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: Max Mutchnick | Statement: [Max Mutchnick, name, Max Mutchnick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Mutchnick Context triple: [Max Mutchnick, name, Max Mutchnick]
-
A.
Max Mutchnick
chosen
Max Mutchnick is an American television producer and writer best known for co-creating the hit sitcom "Will & Grace."
-
B.
Max Margulies
Max Margulies is a political scientist and military scholar known for his work on civil-military relations and military recruitment in the United States.
-
C.
Adam Fink
Adam Fink is a musician best known as a member of the Canadian indie rock band The Smugglers.
-
D.
Richard Portnow
Richard Portnow is an American character actor known for his numerous supporting roles in film and television, including appearances in series like "The Sopranos" and "Boston Legal."
-
E.
Mark Melnick
Mark Melnick is a film editor known for his work on movies such as the action film "Remo Williams: The Adventure Begins."
- 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af680ee88190a23a6f9fed7ae757 |
completed | April 29, 2026, 7:12 a.m. |
Created at: April 17, 2026, 6:16 p.m.