Triple
T5065192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Fassel |
E114124
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Kitty Fassel
Kitty Fassel is best known as the wife of the late Jim Fassel, the former New York Giants head coach.
|
E489813
|
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 Fassel | Statement: [Jim Fassel, spouse, Kitty Fassel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitty Fassel Context triple: [Jim Fassel, spouse, Kitty Fassel]
-
A.
Fern Kraemer
Fern Kraemer was a party to the landmark U.S. Supreme Court case Shelley v. Kraemer, which held that courts could not enforce racially restrictive housing covenants.
-
B.
Catherine Schaeffer
Catherine Schaeffer was the wife of Frederick Muhlenberg, the first Speaker of the United States House of Representatives and a prominent early American political figure.
-
C.
Laura Ricketts
Laura Ricketts is an American attorney, co-owner of the Chicago Cubs, and prominent LGBTQ+ activist and political donor.
-
D.
Gail Katz
Gail Katz is an American film and television producer known for working on major Hollywood projects including the disaster drama "The Perfect Storm."
-
E.
Virginia Katz
Virginia Katz is a film editor known for her work on major Hollywood productions, including entries in the Twilight Saga.
- 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 Fassel Triple: [Jim Fassel, spouse, Kitty Fassel]
Generated description
Kitty Fassel is best known as the wife of the late Jim Fassel, the former New York Giants head coach.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kitty Fassel Target entity description: Kitty Fassel is best known as the wife of the late Jim Fassel, the former New York Giants head coach.
-
A.
Fern Kraemer
Fern Kraemer was a party to the landmark U.S. Supreme Court case Shelley v. Kraemer, which held that courts could not enforce racially restrictive housing covenants.
-
B.
Catherine Schaeffer
Catherine Schaeffer was the wife of Frederick Muhlenberg, the first Speaker of the United States House of Representatives and a prominent early American political figure.
-
C.
Laura Ricketts
Laura Ricketts is an American attorney, co-owner of the Chicago Cubs, and prominent LGBTQ+ activist and political donor.
-
D.
Gail Katz
Gail Katz is an American film and television producer known for working on major Hollywood projects including the disaster drama "The Perfect Storm."
-
E.
Virginia Katz
Virginia Katz is a film editor known for her work on major Hollywood productions, including entries in the Twilight Saga.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7478f7988190bc0473e8af055147 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea49ae8c081908ef8c2e2dbbe3b49 |
completed | March 21, 2026, 2 p.m. |
| NEDg | Description generation | batch_69bea56407148190a2ba646c779e738b |
completed | March 21, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea610b7ac8190b0dcfaa67ba80431 |
completed | March 21, 2026, 2:07 p.m. |
Created at: March 20, 2026, 1:38 p.m.