Triple

T4306237
Position Surface form Disambiguated ID Type / Status
Subject Michael Biehn E99960 entity
Predicate spouse P13 FINISHED
Object Carlene Olson
Carlene Olson is an American actress and former model best known for her marriage to actor Michael Biehn.
E478220 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: Carlene Olson | Statement: [Michael Biehn, spouse, Carlene Olson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlene Olson
Context triple: [Michael Biehn, spouse, Carlene Olson]
  • A. Colleen Ahland
    Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
  • B. Nancy Carlson
    Nancy Carlson is known as the wife of World Wide Web inventor Sir Tim Berners-Lee.
  • C. Sandy Olsson
    Sandy Olsson is the wholesome Australian transfer student who becomes the love interest of Danny Zuko in the musical film "Grease."
  • D. Susan Christensen
    Susan Christensen is an American jurist who serves as the Chief Justice of the Iowa Supreme Court.
  • E. Jessica Olsson
    Jessica Olsson is a Swedish-Kenyan art gallery director best known as the wife of retired NBA star Dirk Nowitzki.
  • 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: Carlene Olson
Triple: [Michael Biehn, spouse, Carlene Olson]
Generated description
Carlene Olson is an American actress and former model best known for her marriage to actor Michael Biehn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carlene Olson
Target entity description: Carlene Olson is an American actress and former model best known for her marriage to actor Michael Biehn.
  • A. Colleen Ahland
    Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
  • B. Nancy Carlson
    Nancy Carlson is known as the wife of World Wide Web inventor Sir Tim Berners-Lee.
  • C. Sandy Olsson
    Sandy Olsson is the wholesome Australian transfer student who becomes the love interest of Danny Zuko in the musical film "Grease."
  • D. Susan Christensen
    Susan Christensen is an American jurist who serves as the Chief Justice of the Iowa Supreme Court.
  • E. Jessica Olsson
    Jessica Olsson is a Swedish-Kenyan art gallery director best known as the wife of retired NBA star Dirk Nowitzki.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350ba57ec8190afda7d8318e5d2d0 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6f845ce48190a5feae21980530d6 completed March 21, 2026, 10:14 a.m.
NEDg Description generation batch_69be707405008190ba1456544e8da593 completed March 21, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69be70e5537c8190b4db230932818a9c completed March 21, 2026, 10:20 a.m.
Created at: March 12, 2026, 11:09 p.m.