Triple

T2693190
Position Surface form Disambiguated ID Type / Status
Subject Mike Tyson E58450 entity
Predicate spouse P13 FINISHED
Object Monica Turner
Monica Turner is an American pediatrician best known for her high-profile marriage to former heavyweight boxing champion Mike Tyson.
E292708 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: Monica Turner | Statement: [Mike Tyson, spouse, Monica Turner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monica Turner
Context triple: [Mike Tyson, spouse, Monica Turner]
  • A. Monica Morgan
    Monica Morgan is a notable member of the Yorta Yorta people, recognized for her contributions to Indigenous Australian community leadership and advocacy.
  • B. Monica Helms
    Monica Helms is a transgender activist and U.S. Navy veteran best known for creating the transgender pride flag.
  • C. Monica Shorter
    Monica Shorter is a person notable enough to be recognized as a bearer of the surname Shorter.
  • D. Monika M. Richardson
    Monika M. Richardson is the wife of American voice actor Kevin Michael Richardson.
  • E. Monique Stalens
    Monique Stalens is a Polish-born French actress and teacher best known as the mother of acclaimed actress Juliette Binoche.
  • 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: Monica Turner
Triple: [Mike Tyson, spouse, Monica Turner]
Generated description
Monica Turner is an American pediatrician best known for her high-profile marriage to former heavyweight boxing champion Mike Tyson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Monica Turner
Target entity description: Monica Turner is an American pediatrician best known for her high-profile marriage to former heavyweight boxing champion Mike Tyson.
  • A. Monica Morgan
    Monica Morgan is a notable member of the Yorta Yorta people, recognized for her contributions to Indigenous Australian community leadership and advocacy.
  • B. Monica Helms
    Monica Helms is a transgender activist and U.S. Navy veteran best known for creating the transgender pride flag.
  • C. Monica Shorter
    Monica Shorter is a person notable enough to be recognized as a bearer of the surname Shorter.
  • D. Monika M. Richardson
    Monika M. Richardson is the wife of American voice actor Kevin Michael Richardson.
  • E. Monique Stalens
    Monique Stalens is a Polish-born French actress and teacher best known as the mother of acclaimed actress Juliette Binoche.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda0f43b08190a5abd936b14603b7 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb67c04a88190bc1145397a5c4eee completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb79a8f008190939313490455d9b9 completed March 10, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_69afb8205840819084ede24192bb0aa3 completed March 10, 2026, 6:20 a.m.
Created at: March 6, 2026, 9:54 p.m.