Triple
T13476015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clifford Odets |
E318252
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Bette Grayson
Bette Grayson was an American actress best known for her work on stage and screen in the 1940s.
|
E1119390
|
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: Bette Grayson | Statement: [Clifford Odets, spouse, Bette Grayson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bette Grayson Context triple: [Clifford Odets, spouse, Bette Grayson]
-
A.
Gloria Connors
Gloria Connors was an American tennis coach best known as the mother and early mentor of tennis champion Jimmy Connors.
-
B.
Gloria Greer
Gloria Greer was an American actress best known for her work in early 20th-century films and for her marriage to film director Alan Crosland.
-
C.
Barbara Hackett
Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
-
D.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
-
E.
Betty Roberts
Betty Roberts is the ambitious and resourceful young scriptwriter and de facto producer at a 1940s Pittsburgh radio station in the television series "Remember WENN."
- 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: Bette Grayson Triple: [Clifford Odets, spouse, Bette Grayson]
Generated description
Bette Grayson was an American actress best known for her work on stage and screen in the 1940s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bette Grayson Target entity description: Bette Grayson was an American actress best known for her work on stage and screen in the 1940s.
-
A.
Gloria Connors
Gloria Connors was an American tennis coach best known as the mother and early mentor of tennis champion Jimmy Connors.
-
B.
Gloria Greer
Gloria Greer was an American actress best known for her work in early 20th-century films and for her marriage to film director Alan Crosland.
-
C.
Barbara Hackett
Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
-
D.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
-
E.
Betty Roberts
Betty Roberts is the ambitious and resourceful young scriptwriter and de facto producer at a 1940s Pittsburgh radio station in the television series "Remember WENN."
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf2551b48190a074fd256791742d |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cce10c88190bf25404fc4c75bbf |
completed | May 8, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69fe1903c0f88190b6f1a081047506d5 |
completed | May 8, 2026, 5:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1980179481908b9f97e2f474e00d |
completed | May 8, 2026, 5:12 p.m. |
Created at: April 9, 2026, 9:42 p.m.