Triple

T11869627
Position Surface form Disambiguated ID Type / Status
Subject Yvette Mimieux E282371 entity
Predicate spouse P13 FINISHED
Object Evan Harland Engber
Evan Harland Engber is best known as the husband of the late American actress Yvette Mimieux.
 E951094 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: Evan Harland Engber | Statement: [Yvette Mimieux, spouse, Evan Harland Engber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Evan Harland Engber
Context triple: [Yvette Mimieux, spouse, Evan Harland Engber]
  • A. Evan Washburn
    Evan Washburn is an American sports reporter best known as a sideline correspondent for CBS’s NFL coverage, including major events like the Super Bowl.
  • B. Evan Wright
    Evan Wright is an American journalist and author best known for his book "Generation Kill," which chronicles his experiences embedded with U.S. Marines during the 2003 invasion of Iraq.
  • C. Evan Ross
    Evan Ross is an American actor and musician, known for his film and television roles and as the son of legendary singer Diana Ross.
  • D. Bryan Englund
    Bryan Englund was the son of American film director and producer George Englund and actress Cloris Leachman.
  • E. Evan Dunsky
    Evan Dunsky is a television writer and producer best known for co-creating the dark comedy-drama series "Nurse Jackie."
  • 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: Evan Harland Engber
Triple: [Yvette Mimieux, spouse, Evan Harland Engber]
Generated description
Evan Harland Engber is best known as the husband of the late American actress Yvette Mimieux.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Evan Harland Engber
Target entity description: Evan Harland Engber is best known as the husband of the late American actress Yvette Mimieux.
  • A. Evan Washburn
    Evan Washburn is an American sports reporter best known as a sideline correspondent for CBS’s NFL coverage, including major events like the Super Bowl.
  • B. Evan Wright
    Evan Wright is an American journalist and author best known for his book "Generation Kill," which chronicles his experiences embedded with U.S. Marines during the 2003 invasion of Iraq.
  • C. Evan Ross
    Evan Ross is an American actor and musician, known for his film and television roles and as the son of legendary singer Diana Ross.
  • D. Bryan Englund
    Bryan Englund was the son of American film director and producer George Englund and actress Cloris Leachman.
  • E. Evan Dunsky
    Evan Dunsky is a television writer and producer best known for co-creating the dark comedy-drama series "Nurse Jackie."
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73c04e4819084c0b2ff8e5d2f04 completed April 10, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281a2abfc8190a4769e637dedaaab completed April 29, 2026, 10:09 p.m.
NEDg Description generation batch_69f28a92ac90819092eef473a49d329e completed April 29, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69f28c462d888190a43e042b00921dbe completed April 29, 2026, 10:55 p.m.
Created at: April 8, 2026, 9:43 p.m.