Triple

T16295366
Position Surface form Disambiguated ID Type / Status
Subject Don Meredith E395631 entity
Predicate spouse P13 FINISHED
Object Susan Lessons
Susan Lessons is known as the wife of former NFL quarterback and broadcaster Don Meredith.
E1205757 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: Susan Lessons | Statement: [Don Meredith, spouse, Susan Lessons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Lessons
Context triple: [Don Meredith, spouse, Susan Lessons]
  • A. Susan
    Susan is the birth name of American actress Sigourney Weaver, renowned for her iconic roles in science fiction and horror films such as the Alien franchise.
  • B. Susan
    Susan is one of the central child protagonists in Alan Garner’s fantasy novel "The Weirdstone of Brisingamen," who becomes embroiled in a magical struggle in rural Cheshire.
  • C. Susan
    "Susan" is a character from the 1985 film "Desperately Seeking Susan," in which Rosanna Arquette starred alongside Madonna.
  • D. Susan
    Susan is an alias used by the character Gretchen Morgan in the television series "Prison Break."
  • E. Susan
    Susan is the given name of American actress Susan Kelechi Watson, known for her role as Beth Pearson on the television series "This Is Us."
  • 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: Susan Lessons
Triple: [Don Meredith, spouse, Susan Lessons]
Generated description
Susan Lessons is known as the wife of former NFL quarterback and broadcaster Don Meredith.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Susan Lessons
Target entity description: Susan Lessons is known as the wife of former NFL quarterback and broadcaster Don Meredith.
  • A. Susan
    Susan is the birth name of American actress Sigourney Weaver, renowned for her iconic roles in science fiction and horror films such as the Alien franchise.
  • B. Susan
    Susan is one of the central child protagonists in Alan Garner’s fantasy novel "The Weirdstone of Brisingamen," who becomes embroiled in a magical struggle in rural Cheshire.
  • C. Susan
    "Susan" is a character from the 1985 film "Desperately Seeking Susan," in which Rosanna Arquette starred alongside Madonna.
  • D. Susan
    Susan is an alias used by the character Gretchen Morgan in the television series "Prison Break."
  • E. Susan
    Susan is the given name of American actress Susan Kelechi Watson, known for her role as Beth Pearson on the television series "This Is Us."
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2d08108190bab1b3325923af1d completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9965b8819080278ccef15288aa completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a0021459c4081908e4c1d2e0bc8a5be completed May 10, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_6a0022247e908190842ca6186b4e9c4c completed May 10, 2026, 6:13 a.m.
Created at: April 10, 2026, 5:06 a.m.