Triple
T13860633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Gardner |
E333184
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Peggy Gardner
Peggy Gardner is a lesser-known member of the Gardner family connected to DC Comics character Guy Gardner.
|
E1141306
|
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: Peggy Gardner | Statement: [Guy Gardner, relative, Peggy Gardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peggy Gardner Context triple: [Guy Gardner, relative, Peggy Gardner]
-
A.
Peggy Scott
Peggy Scott is a young, ambitious Black writer and activist navigating the rigid social hierarchies of 1880s New York in the television series "The Gilded Age."
-
B.
Peggy Harper
Peggy Harper is best known as the former wife of American singer-songwriter Paul Simon.
-
C.
Peggy Gould
Peggy Gould was the wife of American character actor Millard Mitchell, known for her marriage to the prominent mid-20th-century film and stage performer.
-
D.
Peggy King
Peggy King is an American jazz and pop singer and television personality who gained prominence in the 1950s for her recordings and frequent TV and film appearances.
-
E.
Peggy Webber
Peggy Webber is an American actress known for her extensive work in radio drama, film, and television from the mid-20th century onward.
- 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: Peggy Gardner Triple: [Guy Gardner, relative, Peggy Gardner]
Generated description
Peggy Gardner is a lesser-known member of the Gardner family connected to DC Comics character Guy Gardner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peggy Gardner Target entity description: Peggy Gardner is a lesser-known member of the Gardner family connected to DC Comics character Guy Gardner.
-
A.
Peggy Scott
Peggy Scott is a young, ambitious Black writer and activist navigating the rigid social hierarchies of 1880s New York in the television series "The Gilded Age."
-
B.
Peggy Harper
Peggy Harper is best known as the former wife of American singer-songwriter Paul Simon.
-
C.
Peggy Gould
Peggy Gould was the wife of American character actor Millard Mitchell, known for her marriage to the prominent mid-20th-century film and stage performer.
-
D.
Peggy King
Peggy King is an American jazz and pop singer and television personality who gained prominence in the 1950s for her recordings and frequent TV and film appearances.
-
E.
Peggy Webber
Peggy Webber is an American actress known for her extensive work in radio drama, film, and television from the mid-20th century onward.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02de38e48190b6ead95561031c32 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec86c6c6c8190957e398e3dcdd840 |
completed | May 9, 2026, 5:38 a.m. |
| NEDg | Description generation | batch_69fec964fc7c8190ae4217122602f320 |
completed | May 9, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feca1d6c0c8190ab049644153ef087 |
completed | May 9, 2026, 5:46 a.m. |
Created at: April 9, 2026, 10:14 p.m.