Triple
T14460672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Seagal |
E358574
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Adrienne La Russa
Adrienne La Russa is an American actress best known for her work in television soap operas during the 1970s.
|
E1100874
|
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: Adrienne La Russa | Statement: [Steven Seagal, spouse, Adrienne La Russa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adrienne La Russa Context triple: [Steven Seagal, spouse, Adrienne La Russa]
-
A.
Diane Addonizio
Diane Addonizio is an American lawyer and businesswoman best known as the longtime wife of Hall of Fame NFL defensive end and sports analyst Howie Long.
-
B.
Beth Howland
Beth Howland was an American actress best known for her role as the high-strung waitress Vera Louise Gorman on the long-running sitcom "Alice."
-
C.
Lovie Smith
Lovie Smith is an American football coach best known for leading the Chicago Bears to a Super Bowl appearance and for his long tenure as an NFL and college head coach.
-
D.
Joyce Emrick
Joyce Emrick is the wife of renowned American sportscaster Mike "Doc" Emrick and is known primarily for her long-standing support of his broadcasting career.
-
E.
Wendy Harris
Wendy Harris is a character known for being the mother figure in the context of the work in which she appears.
- 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: Adrienne La Russa Triple: [Steven Seagal, spouse, Adrienne La Russa]
Generated description
Adrienne La Russa is an American actress best known for her work in television soap operas during the 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adrienne La Russa Target entity description: Adrienne La Russa is an American actress best known for her work in television soap operas during the 1970s.
-
A.
Diane Addonizio
Diane Addonizio is an American lawyer and businesswoman best known as the longtime wife of Hall of Fame NFL defensive end and sports analyst Howie Long.
-
B.
Beth Howland
Beth Howland was an American actress best known for her role as the high-strung waitress Vera Louise Gorman on the long-running sitcom "Alice."
-
C.
Lovie Smith
Lovie Smith is an American football coach best known for leading the Chicago Bears to a Super Bowl appearance and for his long tenure as an NFL and college head coach.
-
D.
Joyce Emrick
Joyce Emrick is the wife of renowned American sportscaster Mike "Doc" Emrick and is known primarily for her long-standing support of his broadcasting career.
-
E.
Wendy Harris
Wendy Harris is a character known for being the mother figure in the context of the work in which she appears.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91abc1008190a19de4f8f0112c9d |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6495660081908ab9db11939e74f7 |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd65f9f5d88190997c76ba98859471 |
completed | May 8, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd66a62da081908226d85d968dbbe6 |
completed | May 8, 2026, 4:29 a.m. |
Created at: April 10, 2026, 1:19 a.m.