Triple
T20397401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Medved |
E500243
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Diane Medved
Diane Medved is an American clinical psychologist and author known for her writings on family, marriage, and personal growth.
|
E1442266
|
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: Diane Medved | Statement: [Michael Medved, spouse, Diane Medved]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diane Medved Context triple: [Michael Medved, spouse, Diane Medved]
-
A.
Diane Siegler
Diane Siegler is a character in the satirical film "Citizen Ruth," which critiques the abortion debate in the United States.
-
B.
Diane Baran
Diane Baran is an individual notable enough to be recognized as a bearer of the surname Baran, though specific widely known public details about her are not readily available.
-
C.
Diane Nabatoff
Diane Nabatoff is a film and television producer known for her work on crime dramas and character-driven stories.
-
D.
Diane Wilk
Diane Wilk is a television writer and producer known for her work on American TV series and for her marriage to fellow writer-producer Brannon Braga.
-
E.
Debra Frisch
Debra Frisch is an American former psychology professor and blogger best known for a high-profile online harassment case involving a political commentator.
- 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: Diane Medved Triple: [Michael Medved, spouse, Diane Medved]
Generated description
Diane Medved is an American clinical psychologist and author known for her writings on family, marriage, and personal growth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diane Medved Target entity description: Diane Medved is an American clinical psychologist and author known for her writings on family, marriage, and personal growth.
-
A.
Diane Siegler
Diane Siegler is a character in the satirical film "Citizen Ruth," which critiques the abortion debate in the United States.
-
B.
Diane Baran
Diane Baran is an individual notable enough to be recognized as a bearer of the surname Baran, though specific widely known public details about her are not readily available.
-
C.
Diane Nabatoff
Diane Nabatoff is a film and television producer known for her work on crime dramas and character-driven stories.
-
D.
Diane Wilk
Diane Wilk is a television writer and producer known for her work on American TV series and for her marriage to fellow writer-producer Brannon Braga.
-
E.
Debra Frisch
Debra Frisch is an American former psychology professor and blogger best known for a high-profile online harassment case involving a political commentator.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6798c2b28819092fab93f01218cde |
completed | April 20, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c572fa648190b1b7644f34702b1f |
completed | May 16, 2026, 7:28 p.m. |
| NEDg | Description generation | batch_6a08c648e35881908c480b0afa383422 |
completed | May 16, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c6c6f9608190bdbcdd58f6b14008 |
completed | May 16, 2026, 7:34 p.m. |
Created at: April 16, 2026, 11:28 a.m.