Triple
T22023328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taken (TV series) |
E543894
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Matthew Gross |
—
|
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: Matthew Gross | Statement: [Taken (TV series), executiveProducer, Matthew Gross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Gross Context triple: [Taken (TV series), executiveProducer, Matthew Gross]
-
A.
Matthew Gross
Matthew Gross is a television producer best known for his work as an executive producer on the crime drama series "Body of Proof."
-
B.
Matthew Gross
chosen
Matthew Gross is a television and film producer best known for his work on the ABC drama series "Dirty Sexy Money."
-
C.
Mark Grossan
Mark Grossan is a television producer best known for his executive production work on the darkly comedic drama series "Why Women Kill."
-
D.
Michael Jaffe
Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
-
E.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c9959481908da6bed356199f75 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:23 p.m.