Triple
T13997384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Flanders |
E336734
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Catherine Wheeler
Catherine Wheeler is known as the spouse of the late American actor Ed Flanders, who was acclaimed for his work in film, television, and theater.
|
E1086655
|
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: Catherine Wheeler | Statement: [Ed Flanders, spouse, Catherine Wheeler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catherine Wheeler Context triple: [Ed Flanders, spouse, Catherine Wheeler]
-
A.
Katherine Warren
Katherine Warren was an American character actress known for her supporting roles in mid-20th-century films and television.
-
B.
Catherine Blake
Catherine Blake was the wife and close collaborator of English poet and artist William Blake, supporting his artistic work throughout their marriage.
-
C.
Rebecca Knox
Rebecca Knox is the former ring name of Irish professional wrestler Becky Lynch, who became one of WWE’s most prominent female superstars.
-
D.
Katharine Blake
Katharine Blake was a British actress known for her work in mid-20th-century film and television, often portraying strong, dramatic characters.
-
E.
Catherine Faylen
Catherine Faylen is an American actress best known for her film and television roles in the 1940s and 1950s.
- 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: Catherine Wheeler Triple: [Ed Flanders, spouse, Catherine Wheeler]
Generated description
Catherine Wheeler is known as the spouse of the late American actor Ed Flanders, who was acclaimed for his work in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Catherine Wheeler Target entity description: Catherine Wheeler is known as the spouse of the late American actor Ed Flanders, who was acclaimed for his work in film, television, and theater.
-
A.
Katherine Warren
Katherine Warren was an American character actress known for her supporting roles in mid-20th-century films and television.
-
B.
Catherine Blake
Catherine Blake was the wife and close collaborator of English poet and artist William Blake, supporting his artistic work throughout their marriage.
-
C.
Rebecca Knox
Rebecca Knox is the former ring name of Irish professional wrestler Becky Lynch, who became one of WWE’s most prominent female superstars.
-
D.
Katharine Blake
Katharine Blake was a British actress known for her work in mid-20th-century film and television, often portraying strong, dramatic characters.
-
E.
Catherine Faylen
Catherine Faylen is an American actress best known for her film and television roles in the 1940s and 1950s.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb68ba88190bfaf10777d607bf3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd192ee1ac81908663ebd2e06784f1 |
completed | May 7, 2026, 10:58 p.m. |
| NEDg | Description generation | batch_69fd2315cf6881908fc83b273c966cae |
completed | May 7, 2026, 11:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd238d6a7c8190980388e9027e3a72 |
completed | May 7, 2026, 11:43 p.m. |
Created at: April 9, 2026, 10:19 p.m.