Triple
T11518401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Bluthal |
E273091
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Judy Bluthal
Judy Bluthal is known primarily as the wife of Polish-born Australian-British actor and comedian John Bluthal.
|
E939856
|
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: Judy Bluthal | Statement: [John Bluthal, spouse, Judy Bluthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judy Bluthal Context triple: [John Bluthal, spouse, Judy Bluthal]
-
A.
Hollis Resnik
Hollis Resnik was an American actress and singer best known for her acclaimed work in musical theatre and regional stage productions.
-
B.
Lisa Blum
Lisa Blum is a film producer known for her work on the horror-comedy movie "A Haunted House."
-
C.
Gloria Rudisch
Gloria Rudisch is an American pediatrician and public health official best known as the wife of artificial intelligence pioneer Marvin Minsky.
-
D.
Judy Bernly
Judy Bernly is a timid, recently separated office worker who becomes an unlikely feminist heroine as she joins her coworkers in overthrowing their sexist boss in the comedy film "9 to 5."
-
E.
Lisa Bluder
Lisa Bluder is a longtime head coach of the University of Iowa women's basketball team, known for leading the Hawkeyes to national prominence behind star players like Caitlin Clark.
- 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: Judy Bluthal Triple: [John Bluthal, spouse, Judy Bluthal]
Generated description
Judy Bluthal is known primarily as the wife of Polish-born Australian-British actor and comedian John Bluthal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Judy Bluthal Target entity description: Judy Bluthal is known primarily as the wife of Polish-born Australian-British actor and comedian John Bluthal.
-
A.
Hollis Resnik
Hollis Resnik was an American actress and singer best known for her acclaimed work in musical theatre and regional stage productions.
-
B.
Lisa Blum
Lisa Blum is a film producer known for her work on the horror-comedy movie "A Haunted House."
-
C.
Gloria Rudisch
Gloria Rudisch is an American pediatrician and public health official best known as the wife of artificial intelligence pioneer Marvin Minsky.
-
D.
Judy Bernly
Judy Bernly is a timid, recently separated office worker who becomes an unlikely feminist heroine as she joins her coworkers in overthrowing their sexist boss in the comedy film "9 to 5."
-
E.
Lisa Bluder
Lisa Bluder is a longtime head coach of the University of Iowa women's basketball team, known for leading the Hawkeyes to national prominence behind star players like Caitlin Clark.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fcf927081908ef89eff7ad833b0 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef12d90b608190b43fc3aa138aa856 |
completed | April 27, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69ef354b3b3c8190b1c91dbf9c705a7d |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef5170ce9881908f2ecf3d5ada809a |
completed | April 27, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:36 p.m.