Triple

T7917936
Position Surface form Disambiguated ID Type / Status
Subject The Emperor's New Groove E183873 entity
Predicate cinematography P1953 FINISHED
Object Thomas Baker
Thomas Baker is a cinematographer best known for his work on the animated comedy film "The Emperor's New Groove."
 E714882 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: Thomas Baker | Statement: [The Emperor's New Groove, cinematography, Thomas Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thomas Baker
Context triple: [The Emperor's New Groove, cinematography, Thomas Baker]
  • A. Thomas Baker
    Thomas Baker was the early American settler and civic leader after whom the city of Bakersfield, California, is named.
  • B. John Baker
    John Baker was a British engineer best known for helping design the Morrison shelter, an indoor air-raid shelter used in the UK during World War II.
  • C. John Baker
    John Baker was a figure significant enough in Georgia’s early history that Baker County was named in his honor, likely for his contributions to the state or region.
  • D. John Baker
    John Baker is a Canadian entrepreneur best known as the founder and longtime leader of Desire2Learn (D2L), a major provider of learning management systems and educational technology.
  • E. George Baker
    George Baker is a name shared by several notable individuals, including actors, musicians, and public figures across different English-speaking countries.
  • 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: Thomas Baker
Triple: [The Emperor's New Groove, cinematography, Thomas Baker]
Generated description
Thomas Baker is a cinematographer best known for his work on the animated comedy film "The Emperor's New Groove."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thomas Baker
Target entity description: Thomas Baker is a cinematographer best known for his work on the animated comedy film "The Emperor's New Groove."
  • A. Thomas Baker
    Thomas Baker was the early American settler and civic leader after whom the city of Bakersfield, California, is named.
  • B. John Baker
    John Baker was a British engineer best known for helping design the Morrison shelter, an indoor air-raid shelter used in the UK during World War II.
  • C. John Baker
    John Baker was a figure significant enough in Georgia’s early history that Baker County was named in his honor, likely for his contributions to the state or region.
  • D. John Baker
    John Baker is a Canadian entrepreneur best known as the founder and longtime leader of Desire2Learn (D2L), a major provider of learning management systems and educational technology.
  • E. George Baker
    George Baker is a name shared by several notable individuals, including actors, musicians, and public figures across different English-speaking countries.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a8fbbb48190b50def4941761a31 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbde69b608190a49d93c04c46787d completed April 1, 2026, 6:40 a.m.
NEDg Description generation batch_69ccc24a39f88190995f076d1a7ec3e7 completed April 1, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69ccc37f0ca88190b4e077f23dbbe6f8 completed April 1, 2026, 7:04 a.m.
Created at: March 30, 2026, 5:05 p.m.