Triple

T11157642
Position Surface form Disambiguated ID Type / Status
Subject The Lost City E263951 entity
Predicate editor P1954 FINISHED
Object David Franko
David Franko is a film editor known for his work on the adventure-comedy movie "The Lost City."
 E931666 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: David Franko | Statement: [The Lost City, editor, David Franko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Franko
Context triple: [The Lost City, editor, David Franko]
  • A. David Franzoni
    David Franzoni is an American screenwriter and film producer best known for his work on the Academy Award–winning historical epic "Gladiator."
  • B. Dan Frank
    Dan Frank was an influential American book editor known for shaping contemporary literary fiction and nonfiction during his long tenure at major publishing houses.
  • C. Daniel Nigro
    Daniel Nigro is an American songwriter and producer known for his work with prominent pop and indie artists, including co-writing and producing hits for Olivia Rodrigo.
  • D. Michael Ferraro
    Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
  • E. David Frank
    David Frank is a music producer best known for his work on Christina Aguilera’s hit single "Genie in a Bottle."
  • 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: David Franko
Triple: [The Lost City, editor, David Franko]
Generated description
David Franko is a film editor known for his work on the adventure-comedy movie "The Lost City."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Franko
Target entity description: David Franko is a film editor known for his work on the adventure-comedy movie "The Lost City."
  • A. David Franzoni
    David Franzoni is an American screenwriter and film producer best known for his work on the Academy Award–winning historical epic "Gladiator."
  • B. Dan Frank
    Dan Frank was an influential American book editor known for shaping contemporary literary fiction and nonfiction during his long tenure at major publishing houses.
  • C. Daniel Nigro
    Daniel Nigro is an American songwriter and producer known for his work with prominent pop and indie artists, including co-writing and producing hits for Olivia Rodrigo.
  • D. Michael Ferraro
    Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
  • E. David Frank
    David Frank is a music producer best known for his work on Christina Aguilera’s hit single "Genie in a Bottle."
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e87fe9a881909540ecc4ed9b6b9f completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6849dbff08190a352eaaea8606bdb completed April 20, 2026, 7:55 p.m.
NEDg Description generation batch_69e68ce8d7988190a0dd3abe5f2afc97 completed April 20, 2026, 8:30 p.m.
NED2 Entity disambiguation (via description) batch_69e6b7a31b4081909b06bc9b6d0a1617 completed April 20, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:28 p.m.