Triple

T10391869
Position Surface form Disambiguated ID Type / Status
Subject Divisadero E244910 entity
Predicate hasMainCharacter P1183 FINISHED
Object Coop
Coop is a central character in the work "Divisadero," around whom much of the story’s emotional and narrative focus revolves.
 E859006 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: Coop | Statement: [Divisadero, hasMainCharacter, Coop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Coop
Context triple: [Divisadero, hasMainCharacter, Coop]
  • A. The Coop
    The Coop is a historic, student-run cooperative bookstore and general store serving the Harvard University community in Cambridge, Massachusetts.
  • B. Koop
    Koop is a surname most prominently associated with C. Everett Koop, the influential former Surgeon General of the United States.
  • C. Bill and Coo
    Bill and Coo is a 1948 American film notable for its innovative use of trained birds as actors in a miniature fantasy town, for which it received a special Academy Award.
  • D. Doowit
    "Doowit" is a playful, upbeat song performed by Pharrell Williams for the animated film Despicable Me 3.
  • E. Coppins
    Coppins is a historic country house and former royal residence located in Iver, Buckinghamshire, England.
  • 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: Coop
Triple: [Divisadero, hasMainCharacter, Coop]
Generated description
Coop is a central character in the work "Divisadero," around whom much of the story’s emotional and narrative focus revolves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Coop
Target entity description: Coop is a central character in the work "Divisadero," around whom much of the story’s emotional and narrative focus revolves.
  • A. The Coop
    The Coop is a historic, student-run cooperative bookstore and general store serving the Harvard University community in Cambridge, Massachusetts.
  • B. Koop
    Koop is a surname most prominently associated with C. Everett Koop, the influential former Surgeon General of the United States.
  • C. Bill and Coo
    Bill and Coo is a 1948 American film notable for its innovative use of trained birds as actors in a miniature fantasy town, for which it received a special Academy Award.
  • D. Doowit
    "Doowit" is a playful, upbeat song performed by Pharrell Williams for the animated film Despicable Me 3.
  • E. Coppins
    Coppins is a historic country house and former royal residence located in Iver, Buckinghamshire, England.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b5b43081908641a5abfb08dc2b completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795b9974c819087340adc3622279e completed April 9, 2026, 12:04 p.m.
NEDg Description generation batch_69d7985e7fc081909fd1ba1dc6f7338c completed April 9, 2026, 12:15 p.m.
NED2 Entity disambiguation (via description) batch_69d799917ab881909a947ad8059652c6 completed April 9, 2026, 12:20 p.m.
Created at: April 6, 2026, 12:06 p.m.