Triple
T18533501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minx |
E452900
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Ben Karlin |
—
|
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: Ben Karlin | Statement: [Minx, executiveProducer, Ben Karlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Karlin Context triple: [Minx, executiveProducer, Ben Karlin]
-
A.
Ben Karlin
chosen
Ben Karlin is an American television writer and producer best known for his work on The Daily Show and The Colbert Report.
-
B.
Fred Karlin
Fred Karlin was an American composer best known for his film and television scores, particularly during the 1960s and 1970s.
-
C.
John Schulian
John Schulian is an American writer and television producer best known for co-creating the hit fantasy-adventure series "Xena: Warrior Princess."
-
D.
Phil Rubinstein
Phil Rubinstein is a fictional character portrayed by actor Andrew Robinson, likely appearing in a film or television production.
-
E.
Glenn Berger
Glenn Berger is an American screenwriter best known for co-writing major animated films such as the Kung Fu Panda series.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533ffc38881909f8ee132314f58a3 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.