Triple
T6629584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Tucker |
E149887
|
entity |
| Predicate | performedIn |
P795
|
FINISHED |
| Object | Money Talks |
E381868
|
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: Money Talks | Statement: [Chris Tucker, performedIn, Money Talks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Money Talks Context triple: [Chris Tucker, performedIn, Money Talks]
-
A.
Money Talks
chosen
Money Talks is a 1997 American action-comedy film starring Chris Tucker and Charlie Sheen, known for its fast-paced humor and crime-driven plot.
-
B.
Money Blues
Money Blues is a song co-written by lyricist Jacques Levy, known for his collaborations with prominent rock and folk musicians in the 1960s and 1970s.
-
C.
Money
Money is a personal finance magazine and media brand that provides advice and information on investing, saving, budgeting, and financial planning for consumers.
-
D.
Money
"Money" is a well-known musical number from the stage production Cabaret that satirically explores greed and the corrupting influence of wealth.
-
E.
Money
"Money" is a track by American rapper Ludacris from his studio album *Ludaversal*.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa5c9b48190b645be96d446d0ca |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e44f5f9c819088cfb4fd87887766 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:59 p.m.