Triple
T4306238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Biehn |
E99960
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Gina Marsh
Gina Marsh is known as the wife of American actor Michael Biehn, recognized for his roles in films like "The Terminator" and "Aliens."
|
E448008
|
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: Gina Marsh | Statement: [Michael Biehn, spouse, Gina Marsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gina Marsh Context triple: [Michael Biehn, spouse, Gina Marsh]
-
A.
Muriel Deacon
Muriel Deacon is a central family matriarch in the British dystopian drama series "Years and Years," known for anchoring the Lyons family through rapidly changing political and technological upheavals.
-
B.
Barbara Hancock
Barbara Hancock is an American actress and dancer best known for her role in the 1968 musical fantasy film "Finian's Rainbow."
-
C.
Joy Morton
Joy Morton was an American businessman and philanthropist best known as the founder of the Morton Salt Company and a major advocate for tree conservation and public arboreta.
-
D.
Peg Fenwick
Peg Fenwick was an American screenwriter best known for her work on mid-20th-century Hollywood melodramas.
-
E.
June Mulgrew
June Mulgrew is a New Zealand woman best known as the second wife of famed mountaineer Sir Edmund Hillary.
- 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: Gina Marsh Triple: [Michael Biehn, spouse, Gina Marsh]
Generated description
Gina Marsh is known as the wife of American actor Michael Biehn, recognized for his roles in films like "The Terminator" and "Aliens."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gina Marsh Target entity description: Gina Marsh is known as the wife of American actor Michael Biehn, recognized for his roles in films like "The Terminator" and "Aliens."
-
A.
Muriel Deacon
Muriel Deacon is a central family matriarch in the British dystopian drama series "Years and Years," known for anchoring the Lyons family through rapidly changing political and technological upheavals.
-
B.
Barbara Hancock
Barbara Hancock is an American actress and dancer best known for her role in the 1968 musical fantasy film "Finian's Rainbow."
-
C.
Joy Morton
Joy Morton was an American businessman and philanthropist best known as the founder of the Morton Salt Company and a major advocate for tree conservation and public arboreta.
-
D.
Peg Fenwick
Peg Fenwick was an American screenwriter best known for her work on mid-20th-century Hollywood melodramas.
-
E.
June Mulgrew
June Mulgrew is a New Zealand woman best known as the second wife of famed mountaineer Sir Edmund Hillary.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350ba57ec8190afda7d8318e5d2d0 |
completed | March 12, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f7bfd4c8190adf670a5a11c8182 |
completed | March 20, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69bd71aecafc8190b0815d0308bbcaa9 |
completed | March 20, 2026, 4:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd75f39d788190b9e394050c55f44d |
completed | March 20, 2026, 4:29 p.m. |
Created at: March 12, 2026, 11:09 p.m.