Triple
T18507596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Hayden |
E452239
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sandra Cason
Sandra Cason is known primarily for her past marriage to American social and political activist Tom Hayden.
|
E1371518
|
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: Sandra Cason | Statement: [Tom Hayden, spouse, Sandra Cason]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandra Cason Context triple: [Tom Hayden, spouse, Sandra Cason]
-
A.
Sandra Coney
Sandra Coney is a New Zealand feminist, writer, and women's health advocate known for her activism, journalism, and work in public health and local government.
-
B.
Sandra Davenport
Sandra Davenport is the first wife of American actor and comedian Jim Belushi, with whom she has one son.
-
C.
Sandra Jennings
Sandra Jennings is an American woman best known for her long-term relationship and legal disputes with actor William Hurt.
-
D.
Sandra Nelson
Sandra Nelson is an American actress known for her roles in film and television, including a part in the Cole Porter biographical musical film "De-Lovely."
-
E.
Brenda Denaut
Brenda Denaut was an American actress and the mother of the late actor and transgender activist Alexis Arquette.
- 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: Sandra Cason Triple: [Tom Hayden, spouse, Sandra Cason]
Generated description
Sandra Cason is known primarily for her past marriage to American social and political activist Tom Hayden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sandra Cason Target entity description: Sandra Cason is known primarily for her past marriage to American social and political activist Tom Hayden.
-
A.
Sandra Coney
Sandra Coney is a New Zealand feminist, writer, and women's health advocate known for her activism, journalism, and work in public health and local government.
-
B.
Sandra Davenport
Sandra Davenport is the first wife of American actor and comedian Jim Belushi, with whom she has one son.
-
C.
Sandra Jennings
Sandra Jennings is an American woman best known for her long-term relationship and legal disputes with actor William Hurt.
-
D.
Sandra Nelson
Sandra Nelson is an American actress known for her roles in film and television, including a part in the Cole Porter biographical musical film "De-Lovely."
-
E.
Brenda Denaut
Brenda Denaut was an American actress and the mother of the late actor and transgender activist Alexis Arquette.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53344033c8190a0883aef56ba79c3 |
completed | April 19, 2026, 7:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0723f109d48190a70174c9330123cb |
completed | May 15, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a07251f1fec8190afddb45f3e748a59 |
completed | May 15, 2026, 1:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0725c74ce88190b38c2688b3ad92ee |
completed | May 15, 2026, 1:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.