Triple
T18834750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Michael Latt |
E460631
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | David Michael Latt |
—
|
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: David Michael Latt | Statement: [David Michael Latt, name, David Michael Latt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Michael Latt Context triple: [David Michael Latt, name, David Michael Latt]
-
A.
David Michael Latt
chosen
David Michael Latt is an American film producer, director, and co-founder of the low-budget production company The Asylum, known for mockbusters and genre films.
-
B.
Brian Latture
Brian Latture is a music producer known for his work on LL Cool J’s 1989 hip hop album "Walking with a Panther."
-
C.
Don Michael Paul
Don Michael Paul is an American filmmaker and former actor known for directing numerous direct-to-video action and genre films.
-
D.
Matt Lattanzi
Matt Lattanzi is an American actor and former dancer best known for his roles in 1980s films and for his marriage to singer and actress Olivia Newton-John.
-
E.
Stephen Michael Largent
Stephen Michael Largent is a former American football wide receiver and Hall of Famer who became a U.S. Congressman from Oklahoma.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99c1394819095c62eef040e552c |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.