Triple
T22001821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise Frogley |
E543343
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Money Monster |
—
|
NE NERFINISHED |
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 Monster | Statement: [Louise Frogley, workedOn, Money Monster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Money Monster Context triple: [Louise Frogley, workedOn, Money Monster]
-
A.
Money Monster
chosen
Money Monster is a 2016 American thriller film about a live financial TV show taken hostage on air, blending media satire with real-time suspense.
-
B.
Money Mania
Money Mania is a work that explores themes of speculative financial frenzy and irrational economic behavior, closely associated with the classic study of mass financial delusions.
-
C.
Moneybags
Moneybags is a recurring, money-obsessed bear character in the Spyro the Dragon video game series who charges the player gems to unlock paths, abilities, and characters.
-
D.
Tons of Money
Tons of Money is a classic British farce, originally a 1922 stage play, known for its rapid-fire misunderstandings and mistaken identities surrounding an impoverished inventor’s inheritance scheme.
-
E.
All Money In
All Money In is an independent record label founded by rapper and entrepreneur Nipsey Hussle to release his music and support artists from his community.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276ae4e0819097bf1b978451f776 |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:20 p.m.