Triple
T9104059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gray |
E218431
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Linda Gray
Linda Gray is an American actress best known for her role as Sue Ellen Ewing on the long-running television series "Dallas."
|
E787714
|
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: Linda Gray | Statement: [Gray, hasNotableBearer, Linda Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Gray Context triple: [Gray, hasNotableBearer, Linda Gray]
-
A.
Linda Gray
Linda Gray is the longtime wife of Bee Gees singer Barry Gibb, known for her enduring marriage to the music icon since the 1970s.
-
B.
Linda Gray Sexton
Linda Gray Sexton is an American writer and memoirist known for her novels and for editing and chronicling the life and work of her mother, poet Anne Sexton.
-
C.
Vera Miles
Vera Miles is an American actress best known for her roles in classic Alfred Hitchcock films, including "Psycho" and "The Wrong Man."
-
D.
Anita Louise
Anita Louise was an American film and television actress best known for her delicate, ethereal screen presence in 1930s Hollywood productions.
-
E.
Carolyn Jones
Carolyn Jones is a former American professional women's basketball player best known for her standout career in the ABL and WNBA during the 1990s.
- 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: Linda Gray Triple: [Gray, hasNotableBearer, Linda Gray]
Generated description
Linda Gray is an American actress best known for her role as Sue Ellen Ewing on the long-running television series "Dallas."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linda Gray Target entity description: Linda Gray is an American actress best known for her role as Sue Ellen Ewing on the long-running television series "Dallas."
-
A.
Linda Gray
Linda Gray is the longtime wife of Bee Gees singer Barry Gibb, known for her enduring marriage to the music icon since the 1970s.
-
B.
Linda Gray Sexton
Linda Gray Sexton is an American writer and memoirist known for her novels and for editing and chronicling the life and work of her mother, poet Anne Sexton.
-
C.
Vera Miles
Vera Miles is an American actress best known for her roles in classic Alfred Hitchcock films, including "Psycho" and "The Wrong Man."
-
D.
Anita Louise
Anita Louise was an American film and television actress best known for her delicate, ethereal screen presence in 1930s Hollywood productions.
-
E.
Carolyn Jones
Carolyn Jones was an American actress best known for her iconic portrayal of Morticia Addams in the 1960s television series "The Addams Family."
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca56f1f10819091abadf7cd06c3a6 |
completed | April 1, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09b66432081908f557fba2cbf2f6d |
completed | April 4, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69d09cc5cdd481908903ae0e49c1085d |
completed | April 4, 2026, 5:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d09d7364b48190ad3dd55711bd2534 |
completed | April 4, 2026, 5:11 a.m. |
Created at: March 30, 2026, 7:15 p.m.