Triple

T13017895
Position Surface form Disambiguated ID Type / Status
Subject Stephen Douglas McMichael E322599 entity
Predicate spouse P13 FINISHED
Object Misty Davenport E320529 NE FINISHED

How this triple was built (2 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: Misty Davenport | Statement: [Stephen Douglas McMichael, spouse, Misty Davenport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Misty Davenport
Context triple: [Stephen Douglas McMichael, spouse, Misty Davenport]
  • A. Misty Davenport chosen
    Misty Davenport is known as the wife of former NFL defensive tackle and professional wrestler Steve "Mongo" McMichael.
  • B. Misty Upham
    Misty Upham was a Native American actress best known for her acclaimed performances in films such as "Frozen River" and "August: Osage County."
  • C. Misty Quigley
    Misty Quigley is a central character in the psychological thriller series "Yellowjackets," known for her unsettling cheerfulness, obsessive tendencies, and pivotal role in both the past and present timelines of the story.
  • D. Mimi Craven
    Mimi Craven is an American actress and former wife of horror filmmaker Wes Craven, known for her roles in film and television during the 1980s and 1990s.
  • E. Lana Morris
    Lana Morris was a British film and television actress known for her work in mid-20th-century comedies and dramas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ece22908190a0941e23df7c774d completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc98e10819091d71198bca1ac12 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:51 p.m.