Triple

T7714657
Position Surface form Disambiguated ID Type / Status
Subject The Dark Tower (2017 film) E174850 entity
Predicate producer P490 FINISHED
Object Akersh Arcel
Akersh Arcel is a film producer known for working on the 2017 adaptation of Stephen King’s "The Dark Tower."
E683364 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: Akersh Arcel | Statement: [The Dark Tower (2017 film), producer, Akersh Arcel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akersh Arcel
Context triple: [The Dark Tower (2017 film), producer, Akersh Arcel]
  • A. Chachi Arcola
    Chachi Arcola is a popular supporting character from the television sitcom "Happy Days," known as Fonzie’s younger cousin and Joanie Cunningham’s love interest.
  • B. Adric
    Adric is a young, mathematically gifted alien companion of the Fourth and Fifth Doctors in the classic British science fiction series Doctor Who.
  • C. Ranon Ufgood
    Ranon Ufgood is a character from the fantasy film "Willow," known as one of Willow Ufgood's children in the Nelwyn village.
  • D. Breon Mitchell
    Breon Mitchell is a literary translator best known for his acclaimed new English translation of Günter Grass’s novel "The Tin Drum."
  • E. Azariel Blanchard Miller
    Azariel Blanchard Miller was an American land developer and entrepreneur best known for founding and planning the city of Fontana, California.
  • 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: Akersh Arcel
Triple: [The Dark Tower (2017 film), producer, Akersh Arcel]
Generated description
Akersh Arcel is a film producer known for working on the 2017 adaptation of Stephen King’s "The Dark Tower."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Akersh Arcel
Target entity description: Akersh Arcel is a film producer known for working on the 2017 adaptation of Stephen King’s "The Dark Tower."
  • A. Chachi Arcola
    Chachi Arcola is a popular supporting character from the television sitcom "Happy Days," known as Fonzie’s younger cousin and Joanie Cunningham’s love interest.
  • B. Adric
    Adric is a young, mathematically gifted alien companion of the Fourth and Fifth Doctors in the classic British science fiction series Doctor Who.
  • C. Ranon Ufgood
    Ranon Ufgood is a character from the fantasy film "Willow," known as one of Willow Ufgood's children in the Nelwyn village.
  • D. Breon Mitchell
    Breon Mitchell is a literary translator best known for his acclaimed new English translation of Günter Grass’s novel "The Tin Drum."
  • E. Azariel Blanchard Miller
    Azariel Blanchard Miller was an American land developer and entrepreneur best known for founding and planning the city of Fontana, California.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ca8f048190a6ea27b8cee2f93e completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acd5e32c8190869834b21aeae8a7 completed March 29, 2026, 4:38 a.m.
NEDg Description generation batch_69c8ae0383688190be1dbd27262fe717 completed March 29, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69c8ae85027c81908a7871ebcb0d27bd completed March 29, 2026, 4:45 a.m.
Created at: March 27, 2026, 4:04 p.m.