Triple

T1197694
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Lawrence E25705 entity
Predicate notableWork P4 FINISHED
Object Joy
"Joy" is a 2015 biographical comedy-drama film 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: [Jennifer Lawrence, notableWork, Joy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joy
Context triple: [Jennifer Lawrence, notableWork, Joy]
  • A. Happiness
    Happiness is a 2013 American documentary film directed by Thomas Balmès that follows a young Bhutanese monk experiencing modern technology and urban life for the first time.
  • B. Šťastný
    Šťastný is a Slovak surname most famously associated with the Hall of Fame ice hockey player Peter Šťastný and his athletic family.
  • C. LOVE
    LOVE is a famous typographic artwork and pop art icon created by American artist Robert Indiana, featuring the letters L-O-V-E arranged in a bold, stacked format.
  • D. Sorrow
    Sorrow is a character in Toni Morrison's novel "A Mercy," known as a troubled young woman whose traumatic past and evolving identity reflect the book’s themes of loss, memory, and belonging.
  • E. Hope
    Hope is a feminine given name often associated with optimism and positive expectation.
  • 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: [Jennifer Lawrence, notableWork, Joy]
Generated description
"Joy" is a 2015 biographical comedy-drama film 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 starring Jennifer Lawrence as a struggling single mother who becomes a successful inventor and entrepreneur.
  • A. Happiness
    Happiness is a 2013 American documentary film directed by Thomas Balmès that follows a young Bhutanese monk experiencing modern technology and urban life for the first time.
  • B. Šťastný
    Šťastný is a Slovak surname most famously associated with the Hall of Fame ice hockey player Peter Šťastný and his athletic family.
  • C. LOVE
    LOVE is a famous typographic artwork and pop art icon created by American artist Robert Indiana, featuring the letters L-O-V-E arranged in a bold, stacked format.
  • D. Sorrow
    Sorrow is a character in Toni Morrison's novel "A Mercy," known as a troubled young woman whose traumatic past and evolving identity reflect the book’s themes of loss, memory, and belonging.
  • E. Hope
    Hope is a feminine given name often associated with optimism and positive expectation.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9a305c819091513394f1b67784 completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7658cae8819081da26480926ff83 completed March 7, 2026, 7:02 p.m.
NEDg Description generation batch_69ac770141a88190b71552d46fb4d2ad completed March 7, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac777a7768819098b9d4dd771a6750 completed March 7, 2026, 7:07 p.m.
Created at: March 1, 2026, 7:46 p.m.