Triple
T16285989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alden Ehrenreich |
E395388
|
entity |
| Predicate | hasRole |
P161
|
FINISHED |
| Object | Benny in Tetro |
E357350
|
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: Benny in Tetro | Statement: [Alden Ehrenreich, hasRole, Benny in Tetro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benny in Tetro Context triple: [Alden Ehrenreich, hasRole, Benny in Tetro]
-
A.
Tetro
chosen
Tetro is a 2009 drama film directed by Francis Ford Coppola, in which Maribel Verdú plays a key supporting role in a story about fractured family relationships and artistic rivalry in Buenos Aires.
-
B.
Benny
Benny is a skilled and loyal member of Tobey Marshall’s street-racing crew in the film "Need for Speed."
-
C.
Benny
Benny is a common diminutive form of the given name Benedict, often used as a familiar or affectionate nickname.
-
D.
Benny
Benny is a character from the musical "Proud Mary," contributing to the story’s dramatic and emotional narrative.
-
E.
Benny
Benny is the hyperactive, 1980s-style blue spaceman from The Lego Movie, obsessed with building and piloting spaceships.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24914bda08190a5d6315414ee3f76 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017caaa448190a5034ddbd90d2fd5 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.