Triple
T20391184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mysteries of Laura |
E498086
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Greg Berlanti |
—
|
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: Greg Berlanti | Statement: [The Mysteries of Laura, executiveProducer, Greg Berlanti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Berlanti Context triple: [The Mysteries of Laura, executiveProducer, Greg Berlanti]
-
A.
Greg Berlanti
chosen
Greg Berlanti is an American writer, director, and prolific television producer best known for creating and producing numerous hit series across superhero, drama, and teen genres.
-
B.
Caleb Berlanti
Caleb Berlanti is one of the children of television producer, writer, and director Greg Berlanti.
-
C.
Mark Burg
Mark Burg is an American film and television producer best known for his work on projects like the "Saw" horror franchise and various successful Hollywood films.
-
D.
Jason Katims
Jason Katims is an American television writer, producer, and showrunner best known for creating character-driven dramas such as "Parenthood" and "Friday Night Lights."
-
E.
Peter Silverman
Peter Silverman is a screenwriter best known for his work on the film "American Heart."
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790f8d9c819093038f6bb6f47a92 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.