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.