Triple

T5532857
Position Surface form Disambiguated ID Type / Status
Subject Enter Nowhere E145089 entity
Predicate producer P490 FINISHED
Object Ryan Black
Ryan Black is a film producer best known for his work on the psychological thriller "Enter Nowhere."
E531162 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: Ryan Black | Statement: [Enter Nowhere, producer, Ryan Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryan Black
Context triple: [Enter Nowhere, producer, Ryan Black]
  • A. Dylan Harper
    Dylan Harper is a charming, emotionally guarded New York headhunter who becomes entangled in a no-strings-attached relationship that complicates into genuine romance in the film "Friends with Benefits."
  • B. Logan Green
    Logan Green is an American entrepreneur best known as the co-founder and former CEO of the ride-sharing company Lyft.
  • C. Jackson Avery
    Jackson Avery is a fictional plastic surgeon on the television series Grey’s Anatomy, known for his surgical talent, complex family legacy, and evolving romantic relationships.
  • D. Jake
    Jake is a fictional character from the "Pacific Rim" film franchise, known as the charismatic Jaeger pilot and son of legendary pilot Stacker Pentecost.
  • E. Jake
    Jake is a masculine given name commonly used in English-speaking countries, often as a short form of Jacob.
  • 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: Ryan Black
Triple: [Enter Nowhere, producer, Ryan Black]
Generated description
Ryan Black is a film producer best known for his work on the psychological thriller "Enter Nowhere."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ryan Black
Target entity description: Ryan Black is a film producer best known for his work on the psychological thriller "Enter Nowhere."
  • A. Dylan Harper
    Dylan Harper is a charming, emotionally guarded New York headhunter who becomes entangled in a no-strings-attached relationship that complicates into genuine romance in the film "Friends with Benefits."
  • B. Logan Green
    Logan Green is an American entrepreneur best known as the co-founder and former CEO of the ride-sharing company Lyft.
  • C. Jackson Avery
    Jackson Avery is a fictional plastic surgeon on the television series Grey’s Anatomy, known for his surgical talent, complex family legacy, and evolving romantic relationships.
  • D. Jake
    Jake is a fictional character from the "Pacific Rim" film franchise, known as the charismatic Jaeger pilot and son of legendary pilot Stacker Pentecost.
  • E. Jake
    Jake is a masculine given name commonly used in English-speaking countries, often as a short form of Jacob.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9ea2c88190a68642f5799bd8ff completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0280cb42c8190bf5ba546aca5edce completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c03f22df188190a63f9bf328e2bbba completed March 22, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69c03fb5e34481908b260735bb299254 completed March 22, 2026, 7:15 p.m.
Created at: March 22, 2026, 3:34 p.m.