Triple
T6702716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teri Garr |
E152918
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Phyllis Garr
Phyllis Garr is the mother of American actress and comedian Teri Garr.
|
E660363
|
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: Phyllis Garr | Statement: [Teri Garr, parent, Phyllis Garr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phyllis Garr Context triple: [Teri Garr, parent, Phyllis Garr]
-
A.
Phyllis Holden
Phyllis Holden was an American occupational therapist best known as the first wife of longtime U.S. Senator and 1996 Republican presidential nominee Bob Dole.
-
B.
Phyllis Carlyle
Phyllis Carlyle was a film producer best known for her work on influential 1990s movies, including the psychological thriller "Seven."
-
C.
Phyllis Kirk
Phyllis Kirk was an American actress best known for her roles in 1950s film noir and horror, including the classic 3D film "House of Wax."
-
D.
Phyllis Love
Phyllis Love was an American stage and screen actress known for her work in mid-20th-century films and Broadway productions.
-
E.
Phyllis Newman
Phyllis Newman was an American actress and singer known for her work on Broadway and television, as well as for her advocacy on behalf of women’s health and entertainment industry professionals.
- 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: Phyllis Garr Triple: [Teri Garr, parent, Phyllis Garr]
Generated description
Phyllis Garr is the mother of American actress and comedian Teri Garr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phyllis Garr Target entity description: Phyllis Garr is the mother of American actress and comedian Teri Garr.
-
A.
Phyllis Holden
Phyllis Holden was an American occupational therapist best known as the first wife of longtime U.S. Senator and 1996 Republican presidential nominee Bob Dole.
-
B.
Phyllis Carlyle
Phyllis Carlyle was a film producer best known for her work on influential 1990s movies, including the psychological thriller "Seven."
-
C.
Phyllis Kirk
Phyllis Kirk was an American actress best known for her roles in 1950s film noir and horror, including the classic 3D film "House of Wax."
-
D.
Phyllis Love
Phyllis Love was an American stage and screen actress known for her work in mid-20th-century films and Broadway productions.
-
E.
Phyllis Newman
Phyllis Newman was an American actress and singer known for her work on Broadway and television, as well as for her advocacy on behalf of women’s health and entertainment industry professionals.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0e5eb0c81908c4fa3febd2d23ca |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c80299ee8c8190a64397339ae62119 |
completed | March 28, 2026, 4:32 p.m. |
| NEDg | Description generation | batch_69c8035151a481908a33c1ecd12c2f6d |
completed | March 28, 2026, 4:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c803aea0808190a5208c02a0db1187 |
completed | March 28, 2026, 4:37 p.m. |
Created at: March 27, 2026, 2:06 p.m.