Triple
T3860078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Dubious Battle |
E90112
|
entity |
| Predicate | majorCharacter |
P12208
|
FINISHED |
| Object |
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.
|
E394544
|
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: [In Dubious Battle, majorCharacter, Joy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joy Context triple: [In Dubious Battle, majorCharacter, 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.
Happiness
"Happiness" is a 1995 self-help and inspirational book by Marla Maples reflecting on personal growth, spirituality, and finding joy in life.
- 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: [In Dubious Battle, majorCharacter, Joy]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joy Target entity description: 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.
-
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.
Happiness
"Happiness" is a 1995 self-help and inspirational book by Marla Maples reflecting on personal growth, spirituality, and finding joy in life.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec1ff39c8190b83a88abd840a0e3 |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b512348fe88190b5ae942809732b76 |
completed | March 14, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69b513013db481908f8fb5f56470c0d0 |
completed | March 14, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5137200a08190bd2a78398e03803e |
completed | March 14, 2026, 7:51 a.m. |
Created at: March 9, 2026, 3:19 p.m.