Triple
T19945447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Findley |
E479410
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lucille Findley
Lucille Findley was the wife of longtime U.S. Congressman and author Paul Findley.
|
E1402994
|
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: Lucille Findley | Statement: [Paul Findley, spouse, Lucille Findley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucille Findley Context triple: [Paul Findley, spouse, Lucille Findley]
-
A.
Wendelin Van Draanen
Wendelin Van Draanen is an American author best known for her young adult and children’s novels, including the popular book "Flipped."
-
B.
Margaret Chodos-Irvine
Margaret Chodos-Irvine is an American illustrator and printmaker known for her distinctive, textured artwork in children’s books.
-
C.
Natalie Babbitt
Natalie Babbitt was an American author and illustrator of children’s books, best known for her classic fantasy novel "Tuck Everlasting."
-
D.
Katherine Paterson
Katherine Paterson is an acclaimed American author of children's and young adult literature, best known for novels such as "Bridge to Terabithia" and "Jacob Have I Loved."
-
E.
Anne Frances Robbins
Anne Frances Robbins, better known as Nancy Reagan, was an American actress and the First Lady of the United States from 1981 to 1989 as the wife of President Ronald Reagan.
- 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: Lucille Findley Triple: [Paul Findley, spouse, Lucille Findley]
Generated description
Lucille Findley was the wife of longtime U.S. Congressman and author Paul Findley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucille Findley Target entity description: Lucille Findley was the wife of longtime U.S. Congressman and author Paul Findley.
-
A.
Wendelin Van Draanen
Wendelin Van Draanen is an American author best known for her young adult and children’s novels, including the popular book "Flipped."
-
B.
Margaret Chodos-Irvine
Margaret Chodos-Irvine is an American illustrator and printmaker known for her distinctive, textured artwork in children’s books.
-
C.
Natalie Babbitt
Natalie Babbitt was an American author and illustrator of children’s books, best known for her classic fantasy novel "Tuck Everlasting."
-
D.
Katherine Paterson
Katherine Paterson is an acclaimed American author of children's and young adult literature, best known for novels such as "Bridge to Terabithia" and "Jacob Have I Loved."
-
E.
Anne Frances Robbins
Anne Frances Robbins, better known as Nancy Reagan, was an American actress and the First Lady of the United States from 1981 to 1989 as the wife of President Ronald Reagan.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a6654f481908089e1d66e17e024 |
completed | April 20, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07f6f2e9dc81909785e4e43c5284b9 |
completed | May 16, 2026, 4:47 a.m. |
| NEDg | Description generation | batch_6a07f88c821c8190a11378d59f4b2063 |
completed | May 16, 2026, 4:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f914434c8190a0e056a8aaa8a1fb |
completed | May 16, 2026, 4:56 a.m. |
Created at: April 10, 2026, 1:54 p.m.