Triple

T4709940
Position Surface form Disambiguated ID Type / Status
Subject Into the Blue E104483 entity
Predicate screenwriter P2831 FINISHED
Object Matt Johnson
Matt Johnson is a screenwriter best known for his work on the action-thriller film "Into the Blue."
E469280 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: Matt Johnson | Statement: [Into the Blue, screenwriter, Matt Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Johnson
Context triple: [Into the Blue, screenwriter, Matt Johnson]
  • A. Mark Johnson
    Mark Johnson is an American film and television producer best known for his work on acclaimed projects such as the series Breaking Bad.
  • B. Mark Johnson
    Mark Johnson is an American ice hockey player best known as a leading scorer and key figure in the "Miracle on Ice" U.S. team that won gold at the 1980 Winter Olympics.
  • C. Christopher Johnson
    Christopher Johnson is an American businessman and member of the Johnson family who serves as a principal owner and executive of the New York Jets NFL franchise.
  • D. Gregg Johnson
    Gregg Johnson is a fictional character appearing in the 1949 adventure film "Mighty Joe Young."
  • E. Greg Johnson
    Greg Johnson is a television writer and producer best known for co-creating the animated series "Pacific Rim: The Black" and his work on various Marvel animated shows.
  • 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: Matt Johnson
Triple: [Into the Blue, screenwriter, Matt Johnson]
Generated description
Matt Johnson is a screenwriter best known for his work on the action-thriller film "Into the Blue."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matt Johnson
Target entity description: Matt Johnson is a screenwriter best known for his work on the action-thriller film "Into the Blue."
  • A. Mark Johnson
    Mark Johnson is an American film and television producer best known for his work on acclaimed projects such as the series Breaking Bad.
  • B. Mark Johnson
    Mark Johnson is an American ice hockey player best known as a leading scorer and key figure in the "Miracle on Ice" U.S. team that won gold at the 1980 Winter Olympics.
  • C. Christopher Johnson
    Christopher Johnson is an American businessman and member of the Johnson family who serves as a principal owner and executive of the New York Jets NFL franchise.
  • D. Gregg Johnson
    Gregg Johnson is a fictional character appearing in the 1949 adventure film "Mighty Joe Young."
  • E. Greg Johnson
    Greg Johnson is a television writer and producer best known for co-creating the animated series "Pacific Rim: The Black" and his work on various Marvel animated shows.
  • 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63ee712c81908da60aa0df58efe0 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43a16d1c819081e9e20f015c7f90 completed March 21, 2026, 7:07 a.m.
NEDg Description generation batch_69be443674b081909a4fc17c6a087198 completed March 21, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_69be44e6f9108190bd27468aa966b60a completed March 21, 2026, 7:12 a.m.
Created at: March 20, 2026, 1:17 p.m.