Triple
T22946486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10th Academy Awards |
E569886
|
entity |
| Predicate | bestShortSubjectColorWinner |
P150345
|
FINISHED |
| Object | Penny Wisdom |
—
|
NE NERFINISHED |
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: Penny Wisdom | Statement: [10th Academy Awards, bestShortSubjectColorWinner, Penny Wisdom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penny Wisdom Context triple: [10th Academy Awards, bestShortSubjectColorWinner, Penny Wisdom]
-
A.
Penny & Me
"Penny & Me" is a pop-rock single by the American band Hanson, known for its melodic hooks and nostalgic, acoustic-driven sound.
-
B.
The Four Pennies
The Four Pennies were a 1960s English pop group best known for their UK chart-topping hit "Juliet."
-
C.
The Five Pennies
The Five Pennies is a 1959 musical biographical film about jazz cornetist Red Nichols, noted for its blend of music, drama, and performances by Danny Kaye and Louis Armstrong.
-
D.
Penny Lover
"Penny Lover" is a romantic R&B ballad by Lionel Richie, released in 1983 as one of the hit singles from his multi-platinum album "Can't Slow Down."
-
E.
Penny for Your Thoughts
"Penny for Your Thoughts" is an acoustic instrumental track by Peter Frampton featured on his landmark live album *Frampton Comes Alive!*
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Penny Wisdom Target entity description: Penny Wisdom is a 1937 Technicolor comedy short film produced by MGM, best known for its humorous take on domestic mishaps and household management.
-
A.
Penny & Me
"Penny & Me" is a pop-rock single by the American band Hanson, known for its melodic hooks and nostalgic, acoustic-driven sound.
-
B.
The Four Pennies
The Four Pennies were a 1960s English pop group best known for their UK chart-topping hit "Juliet."
-
C.
The Five Pennies
The Five Pennies is a 1959 musical biographical film about jazz cornetist Red Nichols, noted for its blend of music, drama, and performances by Danny Kaye and Louis Armstrong.
-
D.
Penny Lover
"Penny Lover" is a romantic R&B ballad by Lionel Richie, released in 1983 as one of the hit singles from his multi-platinum album "Can't Slow Down."
-
E.
Penny for Your Thoughts
"Penny for Your Thoughts" is an acoustic instrumental track by Peter Frampton featured on his landmark live album *Frampton Comes Alive!*
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestShortSubjectColorWinner Context triple: [10th Academy Awards, bestShortSubjectColorWinner, Penny Wisdom]
-
A.
winnerColor
Indicates the color associated with the entity that wins in a given event or competition.
-
B.
shortColor
Indicates that one entity has a color that is a shortened, abbreviated, or more concise form of another color description.
-
C.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
D.
bannerColor
Indicates the color associated with a banner in the relationship or context described.
-
E.
shadeColor
Indicates that one entity has a specific shade or variation of color associated with it.
- F. None of above. chosen
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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819d2d7881909e6390717ff79df0 |
completed | April 29, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:46 p.m.