Triple
T9217665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Cross |
E221280
|
entity |
| Predicate | edited |
P1932
|
FINISHED |
| Object |
Joy
"Joy" is a 2015 biographical comedy-drama film directed by David O. Russell and starring Jennifer Lawrence as a struggling single mother who becomes a successful inventor and entrepreneur.
|
E136603
|
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: [Tom Cross, edited, Joy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joy Context triple: [Tom Cross, edited, Joy]
-
A.
Joy
"Joy" is a 2015 biographical comedy-drama film starring Jennifer Lawrence as a struggling single mother who becomes a successful inventor and entrepreneur.
-
B.
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.
-
C.
Joy
Joy is the surname of Bill Joy, the influential American computer scientist and co-founder of Sun Microsystems.
-
D.
Joy
"Joy" is a song featured on the collaborative Christmas mixtape "Merry Christmas Lil Mama" by Chance the Rapper and Jeremih.
-
E.
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.
- 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: [Tom Cross, edited, Joy]
Generated description
"Joy" is a 2015 biographical comedy-drama film directed by David O. Russell and starring Jennifer Lawrence as a struggling single mother who becomes a successful inventor and entrepreneur.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joy Target entity description: "Joy" is a 2015 biographical comedy-drama film directed by David O. Russell and starring Jennifer Lawrence as a struggling single mother who becomes a successful inventor and entrepreneur.
-
A.
Joy
chosen
"Joy" is a 2015 biographical comedy-drama film starring Jennifer Lawrence as a struggling single mother who becomes a successful inventor and entrepreneur.
-
B.
Joy
"Joy" is a film featuring Isabella Rossellini, known for her role in this character-driven drama.
-
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 the surname of Bill Joy, the influential American computer scientist and co-founder of Sun Microsystems.
-
E.
Joy
"Joy" is a song featured on the collaborative Christmas mixtape "Merry Christmas Lil Mama" by Chance the Rapper and Jeremih.
- F. None of above.
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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda0ae3d081908ff3f5dab52df5ae |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b1ba860c8190b621b9fe88bc6ba2 |
completed | April 4, 2026, 6:37 a.m. |
| NEDg | Description generation | batch_69d0b2e45674819091c7e1102c8844a5 |
completed | April 4, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b36590088190a92401d5f6c4c947 |
completed | April 4, 2026, 6:44 a.m. |
Created at: March 30, 2026, 7:27 p.m.