Triple
T23560949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Mutchnick |
E579233
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Clipped |
—
|
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: Clipped | Statement: [Max Mutchnick, notableWork, Clipped]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clipped Context triple: [Max Mutchnick, notableWork, Clipped]
-
A.
Clipped
chosen
Clipped is an American television sitcom centered on a group of barbershop employees in Charlestown, Boston, known for featuring actor Ryan Pinkston among its ensemble cast.
-
B.
The Cutting
The Cutting is a tight, steeply uphill left-hand corner on Australia’s Mount Panorama Circuit, known for its narrow confines and challenging elevation change.
-
C.
The Cut
The Cut is a digital publication and vertical of New York Magazine that focuses on fashion, culture, politics, and women’s issues.
-
D.
The Cut
The Cut is a 2014 historical drama film directed by Fatih Akin that follows an Armenian man's search for his daughters in the aftermath of the Armenian genocide.
-
E.
The Cut
The Cut is a street in the Waterloo area of London known for its theatres, restaurants, and proximity to major transport links.
- 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.