Triple
T16247448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Greeks Had a Word for It |
E394407
|
entity |
| Predicate | hasAdaptationRelation |
P1690
|
FINISHED |
| Object | loosely adapted into How to Marry a Millionaire |
E92894
|
NE FINISHED |
How this triple was built (3 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: loosely adapted into How to Marry a Millionaire | Statement: [The Greeks Had a Word for It, hasAdaptationRelation, loosely adapted into How to Marry a Millionaire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: loosely adapted into How to Marry a Millionaire Context triple: [The Greeks Had a Word for It, hasAdaptationRelation, loosely adapted into How to Marry a Millionaire]
-
A.
How to Marry a Millionaire
chosen
How to Marry a Millionaire is a 1953 romantic comedy film about three models scheming to wed wealthy men, best known for starring Marilyn Monroe alongside Betty Grable and Lauren Bacall.
-
B.
The Happiest Millionaire
The Happiest Millionaire is a 1967 Disney musical film set in early 20th-century Philadelphia, following an eccentric millionaire and his family through comedic and romantic adventures.
-
C.
The Model Millionaire
"The Model Millionaire" is a short story by Oscar Wilde that humorously explores themes of wealth, generosity, and appearances through the misadventures of a kind but impoverished young man.
-
D.
Brewster's Millions
Brewster's Millions is a 1985 comedy film starring Richard Pryor as a minor-league baseball player who must spend a vast fortune in a short time to inherit an even larger one.
-
E.
The Millionairess
The Millionairess is a 1960 British romantic comedy film, based on a George Bernard Shaw play, starring Sophia Loren as a fabulously wealthy heiress whose love life is entangled with a modest Egyptian doctor played by Peter Sellers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdaptationRelation Context triple: [The Greeks Had a Word for It, hasAdaptationRelation, loosely adapted into How to Marry a Millionaire]
-
A.
hasRelativeInAdaptation
Indicates that an entity has a relative (family-related counterpart) appearing in an adaptation of that entity or its source material.
-
B.
hasAdaptationStrategy
Indicates that an entity employs or is associated with a specific method or approach for adapting to changing conditions or requirements.
-
C.
hasMediaAdaptation
chosen
Indicates that a work has been adapted into another medium, such as film, television, or other forms of media.
-
D.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
E.
hasBeenAdaptedBy
Indicates that an original work has been transformed or re-created into a new form or medium by a particular adapter.
- F. None of above.
Provenance (4 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245942460819080897afad0d2fe09 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ee3bbc48190a56ce2807a9510f0 |
completed | May 10, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.