Triple

T4560123
Position Surface form Disambiguated ID Type / Status
Subject Drop Dead Gorgeous E120571 entity
Predicate cinematographyBy P1953 FINISHED
Object Michael Spiller
Michael Spiller is an American cinematographer and television director known for his work on numerous acclaimed TV comedies and films.
 E452301 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: Michael Spiller | Statement: [Drop Dead Gorgeous, cinematographyBy, Michael Spiller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Spiller
Context triple: [Drop Dead Gorgeous, cinematographyBy, Michael Spiller]
  • A. John Morris
    John Morris is an American voice actor best known for voicing Andy Davis in the Toy Story film series.
  • B. John Morris
    John Morris is a film producer best known for his work on mainstream Hollywood comedies, including the family sequel "Daddy's Home 2."
  • C. John Daly
    John Daly was a local landowner and civic figure after whom the Californian city of Daly City was named.
  • D. John Daly
    John Daly was a prominent British film producer known for backing influential independent and Oscar-winning films through his company Hemdale Film Corporation.
  • E. Craig Wood
    Craig Wood is a film editor best known for his work on major Hollywood blockbusters, including entries in the Pirates of the Caribbean franchise.
  • 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: Michael Spiller
Triple: [Drop Dead Gorgeous, cinematographyBy, Michael Spiller]
Generated description
Michael Spiller is an American cinematographer and television director known for his work on numerous acclaimed TV comedies and films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Spiller
Target entity description: Michael Spiller is an American cinematographer and television director known for his work on numerous acclaimed TV comedies and films.
  • A. John Morris
    John Morris is an American voice actor best known for voicing Andy Davis in the Toy Story film series.
  • B. John Morris
    John Morris is a film producer best known for his work on mainstream Hollywood comedies, including the family sequel "Daddy's Home 2."
  • C. John Daly
    John Daly was a local landowner and civic figure after whom the Californian city of Daly City was named.
  • D. John Daly
    John Daly was a prominent British film producer known for backing influential independent and Oscar-winning films through his company Hemdale Film Corporation.
  • E. Craig Wood
    Craig Wood is a film editor best known for his work on major Hollywood blockbusters, including entries in the Pirates of the Caribbean franchise.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd582b871c8190be0b70c76d639000 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc593eaf881908a9043366230b391 completed March 20, 2026, 10:09 p.m.
NEDg Description generation batch_69bdc5f0b52c8190bbfa2a6a22d56725 completed March 20, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69bdc63b1e0881908f861f7c9c5ce3ac completed March 20, 2026, 10:12 p.m.
Created at: March 20, 2026, 1:09 p.m.