Triple
T3030950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve McMichael |
E82891
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Misty Davenport
Misty Davenport is known as the wife of former NFL defensive tackle and professional wrestler Steve "Mongo" McMichael.
|
E320529
|
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: Misty Davenport | Statement: [Steve McMichael, spouse, Misty Davenport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Misty Davenport Context triple: [Steve McMichael, spouse, Misty Davenport]
-
A.
Lana Morris
Lana Morris was a British film and television actress known for her work in mid-20th-century comedies and dramas.
-
B.
Diandra Luker
Diandra Luker is a film producer and the former wife of American actor Michael Douglas.
-
C.
Cynda Williams
Cynda Williams is an American actress and singer best known for her breakout role in the film "Mo' Better Blues" and subsequent work in independent cinema and television.
-
D.
Debralee Scott
Debralee Scott was an American actress best known for her comedic roles on 1970s and 1980s television sitcoms and films.
-
E.
Lindsay Doran
Lindsay Doran is an American film producer and studio executive known for championing character-driven, emotionally resonant movies such as "Sense and Sensibility," "Dead Again," and "Stranger Than Fiction."
- 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: Misty Davenport Triple: [Steve McMichael, spouse, Misty Davenport]
Generated description
Misty Davenport is known as the wife of former NFL defensive tackle and professional wrestler Steve "Mongo" McMichael.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Misty Davenport Target entity description: Misty Davenport is known as the wife of former NFL defensive tackle and professional wrestler Steve "Mongo" McMichael.
-
A.
Lana Morris
Lana Morris was a British film and television actress known for her work in mid-20th-century comedies and dramas.
-
B.
Diandra Luker
Diandra Luker is a film producer and the former wife of American actor Michael Douglas.
-
C.
Cynda Williams
Cynda Williams is an American actress and singer best known for her breakout role in the film "Mo' Better Blues" and subsequent work in independent cinema and television.
-
D.
Debralee Scott
Debralee Scott was an American actress best known for her comedic roles on 1970s and 1980s television sitcoms and films.
-
E.
Lindsay Doran
Lindsay Doran is an American film producer and studio executive known for championing character-driven, emotionally resonant movies such as "Sense and Sensibility," "Dead Again," and "Stranger Than Fiction."
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9aee2fec81908116939a8d773fc4 |
completed | March 8, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1debd245c819081eb2dec470f9156 |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1dfc77c1881909688d5037682fa01 |
completed | March 11, 2026, 9:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e03121148190840fc48a50c4ec0e |
completed | March 11, 2026, 9:35 p.m. |
Created at: March 8, 2026, 3:01 p.m.