Triple
T19201392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Tractor |
E470115
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Kitty Snyder
Kitty Snyder is a musician best known as a member of the Athens, Georgia–based alternative rock band Love Tractor.
|
E1378152
|
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: Kitty Snyder | Statement: [Love Tractor, hasMember, Kitty Snyder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitty Snyder Context triple: [Love Tractor, hasMember, Kitty Snyder]
-
A.
Anne Marie Snyder
Anne Marie Snyder is the daughter of the late American television personality and talk-show host Tom Snyder.
-
B.
Tanya Snyder
Tanya Snyder is an American businesswoman and philanthropist best known as the co-owner and former co-CEO of the Washington Commanders NFL franchise.
-
C.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
-
D.
Catherine Schneider
Catherine Schneider is known as a former spouse of French film director and screenwriter Roger Vadim.
-
E.
Kathleen Wilhoite
Kathleen Wilhoite is an American actress and singer-songwriter known for her character roles in film and television, including appearances in projects like "Lorenzo's Oil," "ER," and "Gilmore Girls."
- 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: Kitty Snyder Triple: [Love Tractor, hasMember, Kitty Snyder]
Generated description
Kitty Snyder is a musician best known as a member of the Athens, Georgia–based alternative rock band Love Tractor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kitty Snyder Target entity description: Kitty Snyder is a musician best known as a member of the Athens, Georgia–based alternative rock band Love Tractor.
-
A.
Anne Marie Snyder
Anne Marie Snyder is the daughter of the late American television personality and talk-show host Tom Snyder.
-
B.
Tanya Snyder
Tanya Snyder is an American businesswoman and philanthropist best known as the co-owner and former co-CEO of the Washington Commanders NFL franchise.
-
C.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
-
D.
Catherine Schneider
Catherine Schneider is known as a former spouse of French film director and screenwriter Roger Vadim.
-
E.
Kathleen Wilhoite
Kathleen Wilhoite is an American actress and singer-songwriter known for her character roles in film and television, including appearances in projects like "Lorenzo's Oil," "ER," and "Gilmore Girls."
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f9991ba48190ab92805daec3877b |
completed | April 20, 2026, 10:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07403a9e048190a158e9b1896de6e2 |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a074145c3f48190a052c8d8fac0f2be |
completed | May 15, 2026, 3:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0741fc21888190913ce428cb176ffd |
completed | May 15, 2026, 3:55 p.m. |
Created at: April 10, 2026, 12:07 p.m.