Triple
T16910033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoffa |
E410169
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Armand Assante |
E70556
|
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: Armand Assante | Statement: [Hoffa, starring, Armand Assante]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armand Assante Context triple: [Hoffa, starring, Armand Assante]
-
A.
Armand Assante
chosen
Armand Assante is an American actor known for his intense screen presence and roles in crime dramas and historical films.
-
B.
Charles Bronson
Charles Bronson was an American film actor best known for his tough-guy roles in action and Western movies, including the "Death Wish" series.
-
C.
Lawrence Tierney
Lawrence Tierney was an American film and television actor best known for his tough-guy roles in classic crime films and later for his intimidating presence in movies like Quentin Tarantino's "Reservoir Dogs."
-
D.
Michael Madsen
Michael Madsen is an American actor known for his tough-guy roles in films such as Reservoir Dogs, Kill Bill, and other Quentin Tarantino movies.
-
E.
Miguel Ferrer
Miguel Ferrer was an American character actor known for his intense, often villainous roles in film and television, including notable performances in projects like "RoboCop," "Twin Peaks," and "NCIS: Los Angeles."
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3ca0c481909ff361ccf4a922e3 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7bb4ac481909318d3d61a2d10e1 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.