Triple

T13369816
Position Surface form Disambiguated ID Type / Status
Subject City of Ember E319031 entity
Predicate editor P1954 FINISHED
Object Adam P. Scott
Adam P. Scott is a film editor known for his work on the science-fiction movie "City of Ember."
 E1046903 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: Adam P. Scott | Statement: [City of Ember, editor, Adam P. Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Adam P. Scott
Context triple: [City of Ember, editor, Adam P. Scott]
  • A. Lewis Pullman
    Lewis Pullman is an American actor known for roles in films such as "Top Gun: Maverick," "Bad Times at the El Royale," and "The Strangers: Prey at Night."
  • B. Tyler Hoechlin
    Tyler Hoechlin is an American actor best known for roles such as Derek Hale on "Teen Wolf" and Superman/Clark Kent in the Arrowverse series.
  • C. Michael Rapaport
    Michael Rapaport is an American actor and comedian known for his prolific character roles in film and television, as well as his outspoken, humorous public persona.
  • D. Gene Draper
    Gene Draper is the infant son of Don and Betty Draper on the television series "Mad Men," named after Betty's late father.
  • E. Pablo Schreiber
    Pablo Schreiber is a Canadian-American actor known for his intense character roles in film and television, including standout performances in series like "Orange Is the New Black" and "American Gods."
  • 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: Adam P. Scott
Triple: [City of Ember, editor, Adam P. Scott]
Generated description
Adam P. Scott is a film editor known for his work on the science-fiction movie "City of Ember."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Adam P. Scott
Target entity description: Adam P. Scott is a film editor known for his work on the science-fiction movie "City of Ember."
  • A. Lewis Pullman
    Lewis Pullman is an American actor known for roles in films such as "Top Gun: Maverick," "Bad Times at the El Royale," and "The Strangers: Prey at Night."
  • B. Tyler Hoechlin
    Tyler Hoechlin is an American actor best known for roles such as Derek Hale on "Teen Wolf" and Superman/Clark Kent in the Arrowverse series.
  • C. Michael Rapaport
    Michael Rapaport is an American actor and comedian known for his prolific character roles in film and television, as well as his outspoken, humorous public persona.
  • D. Gene Draper
    Gene Draper is the infant son of Don and Betty Draper on the television series "Mad Men," named after Betty's late father.
  • E. Pablo Schreiber
    Pablo Schreiber is a Canadian-American actor known for his intense character roles in film and television, including standout performances in series like "Orange Is the New Black" and "American Gods."
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd79184819088948cd38d10a4a5 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d8322ac8190a9830d9ca92f455f completed May 3, 2026, 2:36 p.m.
NEDg Description generation batch_69f75f4352d48190ab57ab8ee57dba13 completed May 3, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_69f75f9fced081909962a881e469d3c4 completed May 3, 2026, 2:45 p.m.
Created at: April 9, 2026, 9:33 p.m.