Triple
T464625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginger Rogers |
E8417
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Kitty Foyle
Kitty Foyle is a 1940 romantic drama film best known for Ginger Rogers’ Oscar-winning performance as a working-class woman navigating love and social class.
|
E57916
|
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: Kitty Foyle | Statement: [Ginger Rogers, notableWork, Kitty Foyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitty Foyle Context triple: [Ginger Rogers, notableWork, Kitty Foyle]
-
A.
Shirley
Shirley is an English surname of Old English origin that has also become a common given name.
-
B.
Shirley
Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
-
C.
Shirley
Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
-
D.
My Favorite Husband
My Favorite Husband is a late-1940s American radio sitcom starring Lucille Ball that served as a precursor to and inspiration for the television series I Love Lucy.
-
E.
Marilyn
A Marilyn is a type of British hill or mountain classified by having a prominence of at least 150 meters, regardless of its absolute height.
- 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: Kitty Foyle Triple: [Ginger Rogers, notableWork, Kitty Foyle]
Generated description
Kitty Foyle is a 1940 romantic drama film best known for Ginger Rogers’ Oscar-winning performance as a working-class woman navigating love and social class.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kitty Foyle Target entity description: Kitty Foyle is a 1940 romantic drama film best known for Ginger Rogers’ Oscar-winning performance as a working-class woman navigating love and social class.
-
A.
Shirley
Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
-
B.
Shirley
Shirley is an English surname of Old English origin that has also become a common given name.
-
C.
Shirley
Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
-
D.
My Favorite Husband
My Favorite Husband is a late-1940s American radio sitcom starring Lucille Ball that served as a precursor to and inspiration for the television series I Love Lucy.
-
E.
Marilyn
A Marilyn is a type of British hill or mountain classified by having a prominence of at least 150 meters, regardless of its absolute height.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efd5b6b48190ae23968135cf6417 |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a45297615881908011d248f1c8fd76 |
completed | March 1, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69a453056b148190a731d421a79738b6 |
completed | March 1, 2026, 2:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4538139bc819092cfe5ed6637953d |
completed | March 1, 2026, 2:56 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.