Triple
T16147902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Hephner |
E391834
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Easy Money |
E799341
|
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: Easy Money | Statement: [Jeff Hephner, notableWork, Easy Money]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Easy Money Context triple: [Jeff Hephner, notableWork, Easy Money]
-
A.
Easy Money
Easy Money is a 1983 comedy film starring Rodney Dangerfield as a hard-living gambler forced to change his ways to inherit a fortune.
-
B.
Easy Money
chosen
Easy Money is a 2010 Swedish crime thriller film, based on Jens Lapidus's novel, that follows a young man's descent into Stockholm's criminal underworld.
-
C.
Easy Money
"Easy Money" is a song featured on Bruce Springsteen's 2012 rock album *Wrecking Ball*.
-
D.
easyMoney
easyMoney is a financial services brand within the easyGroup portfolio, associated with the low-cost, consumer-focused "easy" family of companies.
-
E.
Easy/Lucky/Free
"Easy/Lucky/Free" is a reflective, melancholic indie rock song by Bright Eyes that closes their 2005 album Digital Ash in a Digital Urn.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9551e081908391061b092ff31b |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a7dc3481909f933acd72d6feff |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.