Triple

T16647914
Position Surface form Disambiguated ID Type / Status
Subject Ida Lupino E404523 entity
Predicate directed P7373 FINISHED
Object Outrage
Outrage is a 1950 American film noir–style drama that explores the psychological and social aftermath of sexual assault, directed by pioneering filmmaker Ida Lupino.
 E1226182 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: Outrage | Statement: [Ida Lupino, directed, Outrage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Outrage
Context triple: [Ida Lupino, directed, Outrage]
  • A. Outrage
    Outrage is a song by the American soul band Booker T. & the M.G.'s, featured on their 1965 album "Soul Dressing."
  • B. Outrageous
    "Outrageous" is a high-energy pop and R&B song by Britney Spears from her 2003 album *In the Zone*, known for its sultry vibe and association with her early-2000s image.
  • C. Anger
    Anger is a municipality in the Bavarian Alps of southeastern Germany, known for its scenic landscapes and traditional rural character.
  • D. Anger
    Anger is one of the core emotion characters in Pixar's Inside Out films, embodying fiery frustration and outrage within the mind of the protagonist.
  • E. Gniew
    Gniew is a historic town in northern Poland, known for its medieval Teutonic castle and its role in early modern military conflicts.
  • 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: Outrage
Triple: [Ida Lupino, directed, Outrage]
Generated description
Outrage is a 1950 American film noir–style drama that explores the psychological and social aftermath of sexual assault, directed by pioneering filmmaker Ida Lupino.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Outrage
Target entity description: Outrage is a 1950 American film noir–style drama that explores the psychological and social aftermath of sexual assault, directed by pioneering filmmaker Ida Lupino.
  • A. Outrage
    Outrage is a song by the American soul band Booker T. & the M.G.'s, featured on their 1965 album "Soul Dressing."
  • B. Outrageous
    "Outrageous" is a high-energy pop and R&B song by Britney Spears from her 2003 album *In the Zone*, known for its sultry vibe and association with her early-2000s image.
  • C. Anger
    Anger is a municipality in the Bavarian Alps of southeastern Germany, known for its scenic landscapes and traditional rural character.
  • D. Anger
    Anger is one of the core emotion characters in Pixar's Inside Out films, embodying fiery frustration and outrage within the mind of the protagonist.
  • E. Gniew
    Gniew is a historic town in northern Poland, known for its medieval Teutonic castle and its role in early modern military conflicts.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad66fe88190be582b81719f2ac1 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084c0e37c819080161d522069aa1d completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a0085e04fc08190b974be9d6e27413d completed May 10, 2026, 1:19 p.m.
NED2 Entity disambiguation (via description) batch_6a00868e55dc8190bfc7cd1b78ec4d6d completed May 10, 2026, 1:22 p.m.
Created at: April 10, 2026, 5:18 a.m.