Triple
T11319530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liev Schreiber |
E268055
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Goon (2011 film) |
E575108
|
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: Goon (2011 film) | Statement: [Liev Schreiber, notableWork, Goon (2011 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goon (2011 film) Context triple: [Liev Schreiber, notableWork, Goon (2011 film)]
-
A.
Goon
chosen
Goon is a 2011 sports comedy film in which Seann William Scott stars as a kind-hearted but tough enforcer on a minor league hockey team.
-
B.
Goon: Last of the Enforcers
Goon: Last of the Enforcers is a 2017 Canadian sports comedy film and sequel to the cult hockey movie Goon, following enforcer Doug Glatt as he faces aging, injuries, and new rivals on and off the ice.
-
C.
Mr Goon
Mr Goon is the bumbling, bad-tempered village policeman who frequently clashes with the child detectives in Enid Blyton’s Mystery Series.
-
D.
2 Guns
2 Guns is a 2013 action-comedy film starring Denzel Washington and Mark Wahlberg as undercover agents forced to work together after a botched operation exposes a larger conspiracy.
-
E.
film "Go"
"Go" is a 1999 dark comedy crime film directed by Doug Liman that interweaves multiple perspectives around a drug deal gone wrong over the course of one wild night.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9de875481908acfa56015d4b46f |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525e2549081909ec99e4c7006fd66 |
completed | April 19, 2026, 6:58 p.m. |
Created at: April 8, 2026, 9:32 p.m.