Triple
T23007232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Greenberg |
E572809
|
entity |
| Predicate | protagonistOf |
P9202
|
FINISHED |
| Object | 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: Greenberg | Statement: [Roger Greenberg, protagonistOf, Greenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenberg Context triple: [Roger Greenberg, protagonistOf, Greenberg]
-
A.
Greenberg
chosen
Greenberg is a 2010 indie dramedy film directed by Noah Baumbach and starring Ben Stiller as a troubled man reevaluating his life while housesitting in Los Angeles.
-
B.
Greenberg
Greenberg is a common Ashkenazi Jewish surname borne by numerous notable figures in fields such as law, arts, politics, and academia.
-
C.
Marc Greenberg
Marc Greenberg is a film producer known for his work on the Pixar short film "The Blue Umbrella."
-
D.
Benjy Grinberg
Benjy Grinberg is an American music executive and talent scout best known as the founder and longtime head of the independent hip-hop label Rostrum Records, which helped launch artists like Wiz Khalifa and Mac Miller.
-
E.
Mutz Greenbaum
Mutz Greenbaum was a prominent German-born cinematographer known for his influential work in British cinema during the early to mid-20th century.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1835802a881908fe817c3fa728a82 |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:51 p.m.