Triple

T16566316
Position Surface form Disambiguated ID Type / Status
Subject Art Smith E402469 entity
Predicate notableWork P4 FINISHED
Object Caught
Caught is a 1949 film noir melodrama directed by Max Ophüls, known for its dark exploration of marriage, power, and entrapment in postwar American society.
E1221913 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: Caught | Statement: [Art Smith, notableWork, Caught]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caught
Context triple: [Art Smith, notableWork, Caught]
  • A. Caught
    "Caught" is a song by English indie rock band Florence + the Machine from their 2015 album *How Big, How Blue, How Beautiful*.
  • B. Catch
    Catch is a high-end seafood and sushi restaurant known for its stylish atmosphere and celebrity clientele, located within the ARIA Resort & Casino in Las Vegas.
  • C. Snagged
    "Snagged" is a lighthearted mystery novel by Carol Higgins Clark featuring her recurring sleuth Regan Reilly in a humorous whodunit involving murder and mayhem.
  • D. Trapped
    Trapped is a 2002 American thriller film produced by Mandalay Pictures, centered on a family's harrowing kidnapping ordeal and their desperate attempts to outwit their captors.
  • E. Trapped
    Trapped is a Hindi survival thriller film starring Rajkummar Rao as a man accidentally locked in a high-rise apartment without food, water, or electricity.
  • 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: Caught
Triple: [Art Smith, notableWork, Caught]
Generated description
Caught is a 1949 film noir melodrama directed by Max Ophüls, known for its dark exploration of marriage, power, and entrapment in postwar American society.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Caught
Target entity description: Caught is a 1949 film noir melodrama directed by Max Ophüls, known for its dark exploration of marriage, power, and entrapment in postwar American society.
  • A. Caught
    "Caught" is a song by English indie rock band Florence + the Machine from their 2015 album *How Big, How Blue, How Beautiful*.
  • B. Catch
    Catch is a high-end seafood and sushi restaurant known for its stylish atmosphere and celebrity clientele, located within the ARIA Resort & Casino in Las Vegas.
  • C. Snagged
    "Snagged" is a lighthearted mystery novel by Carol Higgins Clark featuring her recurring sleuth Regan Reilly in a humorous whodunit involving murder and mayhem.
  • D. Trapped
    Trapped is a 2002 American thriller film produced by Mandalay Pictures, centered on a family's harrowing kidnapping ordeal and their desperate attempts to outwit their captors.
  • E. Trapped
    Trapped is a Hindi survival thriller film starring Rajkummar Rao as a man accidentally locked in a high-rise apartment without food, water, or electricity.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35772255881909f737da89bcd06b8 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ee1c1d0819096367344e48bd8d0 completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006fba728c8190a835ce72a15563e1 completed May 10, 2026, 11:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0070aee0248190b3463b98a739d1ae completed May 10, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:15 a.m.