Triple
T14106734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’Argent |
E339524
|
entity |
| Predicate | hasTitleInEnglish |
P3437
|
FINISHED |
| Object |
Money
Money is a 1928 silent French film directed by Marcel L’Herbier, notable for its innovative visual style and critique of high finance and capitalism.
|
E1081036
|
NE FINISHED |
How this triple was built (4 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 | Statement: [L’Argent, hasTitleInEnglish, Money]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Money Context triple: [L’Argent, hasTitleInEnglish, Money]
-
A.
Money
"Money" is a well-known musical number from the stage production Cabaret that satirically explores greed and the corrupting influence of wealth.
-
B.
Money
Money is a medium of exchange and store of value used to facilitate trade, measure worth, and save wealth in economies worldwide.
-
C.
Money
"Money" is a track by Nigerian rapper Olamide from his debut studio album "YBNL," blending streetwise lyrics with Afro-hip hop production.
-
D.
Money
Money is a personal finance magazine and media brand that provides advice and information on investing, saving, budgeting, and financial planning for consumers.
-
E.
Money
"Money" is a track by American rapper Ludacris from his studio album *Ludaversal*.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Money Triple: [L’Argent, hasTitleInEnglish, Money]
Generated description
Money is a 1928 silent French film directed by Marcel L’Herbier, notable for its innovative visual style and critique of high finance and capitalism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Money Target entity description: Money is a 1928 silent French film directed by Marcel L’Herbier, notable for its innovative visual style and critique of high finance and capitalism.
-
A.
Money
"Money" is a well-known musical number from the stage production Cabaret that satirically explores greed and the corrupting influence of wealth.
-
B.
Money
"Money" is a satirical comedy play by Edward Bulwer-Lytton that critiques the social power and moral influence of wealth in Victorian society.
-
C.
Money
"Money" is a 1973 progressive rock song by Pink Floyd, best known for its distinctive 7/4 groove, cash register sound effects, and critique of materialism on the album *The Dark Side of the Moon*.
-
D.
Money
Money is a personal finance magazine and media brand that provides advice and information on investing, saving, budgeting, and financial planning for consumers.
-
E.
Money
"Money" is a track by American rapper Ludacris from his studio album *Ludaversal*.
- F. None of above. chosen
Provenance (5 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600ada808190b92d67dc30f13d15 |
completed | April 14, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0b48e448190b4fb8cb33e5d97e6 |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd288bd5881908f6a442201c5beea |
completed | May 7, 2026, 5:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd3ad7be8819094fc71c9f44fb4cb |
completed | May 7, 2026, 6:02 p.m. |
Created at: April 9, 2026, 10:22 p.m.