Triple
T22673438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Good Guy |
E560281
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Bryan Greenberg |
—
|
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: Bryan Greenberg | Statement: [The Good Guy, starring, Bryan Greenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bryan Greenberg Context triple: [The Good Guy, starring, Bryan Greenberg]
-
A.
Bryan Greenberg
chosen
Bryan Greenberg is an American actor and singer best known for his roles in television series like "One Tree Hill" and "How to Make It in America," as well as various romantic comedies.
-
B.
Matt Greenberg
Matt Greenberg is a screenwriter and film producer known for his work on various horror and thriller projects in American cinema.
-
C.
Kenny Greenberg
Kenny Greenberg is an American guitarist and record producer known for his extensive work in country and rock music with numerous high-profile artists.
-
D.
Josh Weinstock
Josh Weinstock is a film and television producer known for his work on projects such as the drama "Nightingale."
-
E.
Steve Greenberg
Steve Greenberg is an American sports media executive and entrepreneur best known for founding the Classic Sports Network, which later became ESPN Classic.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17821daf88190b18a73a222fc22fb |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.