Triple
T17142317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Madsen |
E415997
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Joy
"Joy" is a film featuring Virginia Madsen, known for her acclaimed performances in both independent and mainstream cinema.
|
E1252199
|
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: Joy | Statement: [Virginia Madsen, notableWork, Joy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joy Context triple: [Virginia Madsen, notableWork, Joy]
-
A.
Joy
Joy is the surname of Bill Joy, the influential American computer scientist and co-founder of Sun Microsystems.
-
B.
Joy
"Joy" is a 2015 biographical comedy-drama film starring Jennifer Lawrence as a struggling single mother who becomes a successful inventor and entrepreneur.
-
C.
Joy
Joy is a given name used for people of any gender, derived from the English word expressing happiness and delight.
-
D.
Joy
"Joy" is a song featured on the album *Midnight Love*, likely reflecting the record’s smooth, romantic R&B style.
-
E.
Joy
Joy is the personified emotion of happiness and optimism in Pixar's animated film "Inside Out," guiding the young girl Riley through her childhood experiences.
- 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: Joy Triple: [Virginia Madsen, notableWork, Joy]
Generated description
"Joy" is a film featuring Virginia Madsen, known for her acclaimed performances in both independent and mainstream cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joy Target entity description: "Joy" is a film featuring Virginia Madsen, known for her acclaimed performances in both independent and mainstream cinema.
-
A.
Joy
"Joy" is a film featuring Isabella Rossellini, known for her role in this character-driven drama.
-
B.
Joy
"Joy" is a 2015 biographical comedy-drama film starring Jennifer Lawrence as a struggling single mother who becomes a successful inventor and entrepreneur.
-
C.
Joy
Joy is the personified emotion of happiness and optimism in Pixar's animated film "Inside Out," guiding the young girl Riley through her childhood experiences.
-
D.
Joy
Joy is a character in John Steinbeck's novel "In Dubious Battle," involved in the labor strike central to the story's exploration of collective action and social struggle.
-
E.
Joy
"Joy" is a song featured on the album *Midnight Love*, likely reflecting the record’s smooth, romantic R&B style.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d5de10819090cbd65661b018d3 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014154b9848190ac01602eb01ae710 |
completed | May 11, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_6a01425d2c20819084c0fa3bd413ebfa |
completed | May 11, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0142dbb6f48190a631a05c5bada0e4 |
completed | May 11, 2026, 2:45 a.m. |
Created at: April 10, 2026, 5:36 a.m.