Triple
T23340497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Gordon |
E591721
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Five Pennies |
—
|
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: The Five Pennies | Statement: [Susan Gordon, notableWork, The Five Pennies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Five Pennies Context triple: [Susan Gordon, notableWork, The Five Pennies]
-
A.
The Five Pennies
chosen
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.
-
B.
The Four Pennies
The Four Pennies were a 1960s English pop group best known for their UK chart-topping hit "Juliet."
-
C.
Penny Wisdom
Penny Wisdom is a 1937 Technicolor comedy short film produced by MGM, best known for its humorous take on domestic mishaps and household management.
-
D.
The Five of Us
The Five of Us is a Canadian drama film that follows the emotional journey of four childhood friends reuniting years after a tragic accident that changed their lives.
-
E.
Penny in My Pocket
"Penny in My Pocket" is a musical number associated with the Broadway musical *Hello, Dolly!*, notably included in the 2017 revival production.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f198329d9c8190992627afa9b54bed |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:18 p.m.