Triple
T12374279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Grinder |
E295081
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Andrew Mogel |
E979335
|
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: Andrew Mogel | Statement: [The Grinder, executiveProducer, Andrew Mogel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Mogel Context triple: [The Grinder, executiveProducer, Andrew Mogel]
-
A.
Andrew Mogel
chosen
Andrew Mogel is a television writer and producer best known for co-creating the sitcom "The Grinder."
-
B.
Jake Morgendorffer
Jake Morgendorffer is the neurotic, well-meaning but often clueless father of Daria Morgendorffer in the animated TV series "Daria."
-
C.
Anthony Meyer
Anthony Meyer is a British politician and former Conservative Member of Parliament best known for mounting a symbolic leadership challenge against Prime Minister Margaret Thatcher in 1989.
-
D.
Andrew Braunsberg
Andrew Braunsberg is a film producer best known for his work on the acclaimed 1979 satirical comedy-drama "Being There."
-
E.
Andrew Mondshein
Andrew Mondshein is an American film editor known for his work on acclaimed movies such as "Ma Rainey's Black Bottom" and "The Sixth Sense."
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa8ca7c8190b3f8e9c2ec23e837 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63473efd481909b2061f3b19e1aaf |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.