Triple
T8860933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Markus |
E210884
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Pain & Gain |
E161216
|
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: Pain & Gain | Statement: [Christopher Markus, notableWork, Pain & Gain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pain & Gain Context triple: [Christopher Markus, notableWork, Pain & Gain]
-
A.
Pain & Gain
chosen
Pain & Gain is a dark action-comedy film about bodybuilders in Miami who become involved in a kidnapping and extortion scheme, directed by Michael Bay and starring Mark Wahlberg and Dwayne Johnson.
-
B.
Southpaw
Southpaw is a 2015 American sports drama film about a troubled boxer fighting to rebuild his life and career after a personal tragedy.
-
C.
Snatched
Snatched is a 2017 comedy film starring Goldie Hawn and Amy Schumer as a mother-daughter duo whose tropical vacation goes disastrously off course.
-
D.
Road House
Road House is a 1989 American action film starring Patrick Swayze as a bouncer hired to clean up a violent roadside bar.
-
E.
3 Days to Kill
3 Days to Kill is a 2014 action-thriller film starring Kevin Costner as a dying CIA agent trying to reconnect with his estranged daughter while completing one last mission.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e860888190a8a8702377db949e |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0b94f5481909902b5fa405a502f |
completed | April 3, 2026, 11:12 a.m. |
Created at: March 30, 2026, 6:50 p.m.