Triple
T19305279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryan Greenberg |
E482809
|
entity |
| Predicate | film |
P9968
|
FINISHED |
| Object | The Good Guy |
E560281
|
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: The Good Guy | Statement: [Bryan Greenberg, film, The Good Guy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Good Guy Context triple: [Bryan Greenberg, film, The Good Guy]
-
A.
The Good Guy
chosen
"The Good Guy" is a 2009 romantic dramedy film about the complexities of modern relationships and Wall Street culture, starring Trini Alvarado among its cast.
-
B.
Good Guy
"Good Guy" is a song featured on the album "Kamikaze" by American rapper Eminem.
-
C.
The Good Guys
The Good Guys is an American comedic buddy-cop television series that follows a washed-up, old-school detective and his by-the-book partner as they bumble through crime-solving in Dallas.
-
D.
The Good Guys
The Good Guys is an Israeli film directed by and starring Assi Dayan, known as a darkly comic drama reflecting Israeli society and personal turmoil.
-
E.
The Good Guys
The Good Guys is an American sitcom starring Alan Hale Jr. that aired in the late 1960s, centered on the misadventures of a cab driver and his friend who runs a diner.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604c744908190975c71a28acc96cc |
completed | April 20, 2026, 10:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0714597f348190a84f061924b63650 |
completed | May 15, 2026, 12:40 p.m. |
Created at: April 10, 2026, 1:31 p.m.