Triple

T1637375
Position Surface form Disambiguated ID Type / Status
Subject Welcome to Marwen E35386 entity
Predicate cinematographyBy P1953 FINISHED
Object C. Kim Miles
C. Kim Miles is a cinematographer known for his work on feature films such as the fantasy-drama "Welcome to Marwen."
E183577 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: C. Kim Miles | Statement: [Welcome to Marwen, cinematographyBy, C. Kim Miles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C. Kim Miles
Context triple: [Welcome to Marwen, cinematographyBy, C. Kim Miles]
  • A. Sandy Berger
    Sandy Berger was an American political consultant and lawyer who served as U.S. National Security Advisor under President Bill Clinton.
  • B. Frank Wisner
    Frank Wisner was a prominent American intelligence officer who became a key architect of early U.S. covert operations during and after World War II.
  • C. E. Howard Hunt
    E. Howard Hunt was a former CIA officer and White House operative best known as a key conspirator in the Watergate break-in and cover-up.
  • D. Christopher Nourse
    Christopher Nourse is a British arts administrator and producer known for his leadership roles in major dance and performing arts organizations.
  • E. John Dean
    John Dean is a former White House Counsel best known for his central role in the Watergate scandal and his testimony against President Richard Nixon.
  • 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: C. Kim Miles
Triple: [Welcome to Marwen, cinematographyBy, C. Kim Miles]
Generated description
C. Kim Miles is a cinematographer known for his work on feature films such as the fantasy-drama "Welcome to Marwen."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: C. Kim Miles
Target entity description: C. Kim Miles is a cinematographer known for his work on feature films such as the fantasy-drama "Welcome to Marwen."
  • A. Sandy Berger
    Sandy Berger was an American political consultant and lawyer who served as U.S. National Security Advisor under President Bill Clinton.
  • B. Frank Wisner
    Frank Wisner was a prominent American intelligence officer who became a key architect of early U.S. covert operations during and after World War II.
  • C. E. Howard Hunt
    E. Howard Hunt was a former CIA officer and White House operative best known as a key conspirator in the Watergate break-in and cover-up.
  • D. Christopher Nourse
    Christopher Nourse is a British arts administrator and producer known for his leadership roles in major dance and performing arts organizations.
  • E. John Dean
    John Dean is a former White House Counsel best known for his central role in the Watergate scandal and his testimony against President Richard Nixon.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a192d588190bbfa4693ed787c05 completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58ddfdbc819096578412818fdfbf completed March 8, 2026, 11:09 a.m.
NEDg Description generation batch_69ad595841788190a97bbfded30110c5 completed March 8, 2026, 11:11 a.m.
NED2 Entity disambiguation (via description) batch_69ad59f329cc8190814de211fb00c7b8 completed March 8, 2026, 11:13 a.m.
Created at: March 4, 2026, 7:28 p.m.