Triple

T1518382
Position Surface form Disambiguated ID Type / Status
Subject The Lion King E32171 entity
Predicate producer P490 FINISHED
Object Don Hahn
Don Hahn is an American film producer best known for overseeing several of Disney’s most acclaimed animated features, including Beauty and the Beast and The Lion King.
E238403 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: Don Hahn | Statement: [The Lion King, producer, Don Hahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Hahn
Context triple: [The Lion King, producer, Don Hahn]
  • A. Rick Darnell
    Rick Darnell was an American songwriter best known for co-writing the blues standard "The Thrill Is Gone," popularized by B.B. King.
  • B. Byron Haskin
    Byron Haskin was an American cinematographer and film director best known for his pioneering special effects work and for directing the 1953 science fiction classic "The War of the Worlds."
  • C. Joseph Moran
    Joseph Moran was the husband of acclaimed American character actress Thelma Ritter.
  • D. Roger D. Branigin
    Roger D. Branigin was an American lawyer and Democratic politician who served as the 42nd governor of Indiana in the 1960s.
  • E. Kevin Kiner
    Kevin Kiner is an American composer best known for his prolific work on film and television scores, including major franchises like Star Wars and DC Comics adaptations.
  • 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: Don Hahn
Triple: [The Lion King, producer, Don Hahn]
Generated description
Don Hahn is an American film producer best known for overseeing several of Disney’s most acclaimed animated features, including Beauty and the Beast and The Lion King.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Don Hahn
Target entity description: Don Hahn is an American film producer best known for overseeing several of Disney’s most acclaimed animated features, including Beauty and the Beast and The Lion King.
  • A. Rick Darnell
    Rick Darnell was an American songwriter best known for co-writing the blues standard "The Thrill Is Gone," popularized by B.B. King.
  • B. Byron Haskin
    Byron Haskin was an American cinematographer and film director best known for his pioneering special effects work and for directing the 1953 science fiction classic "The War of the Worlds."
  • C. Joseph Moran
    Joseph Moran was the husband of acclaimed American character actress Thelma Ritter.
  • D. Roger D. Branigin
    Roger D. Branigin was an American lawyer and Democratic politician who served as the 42nd governor of Indiana in the 1960s.
  • E. Kevin Kiner
    Kevin Kiner is an American composer best known for his prolific work on film and television scores, including major franchises like Star Wars and DC Comics adaptations.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907ed44ac8190953e428c831e24df completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58a7b1fc8190b76b09e64097b881 completed March 9, 2026, 5:20 a.m.
NEDg Description generation batch_69ae597198b88190b0253aa121ed35e1 completed March 9, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae59ff1234819083bbfdce270cb584 completed March 9, 2026, 5:26 a.m.
Created at: March 4, 2026, 7:26 p.m.