Triple
T3040560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Sweeney |
E83115
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Michael Blum
Michael Blum is best known as the husband of comedian and actress Julia Sweeney.
|
E444916
|
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: Michael Blum | Statement: [Julia Sweeney, spouse, Michael Blum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Blum Context triple: [Julia Sweeney, spouse, Michael Blum]
-
A.
Len Blum
Len Blum is a Canadian screenwriter known for his work on numerous comedy films, including the 2006 reboot of The Pink Panther.
-
B.
Michael Kozoll
Michael Kozoll is an American television writer and producer best known for co-creating the influential police drama series "Hill Street Blues."
-
C.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
-
D.
Michael Wandmacher
Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
-
E.
Martin Klotz
Martin Klotz was an Austrian mountaineer known for being one of the first climbers to reach the summit of the Grossglockner, Austria’s highest peak.
- 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: Michael Blum Triple: [Julia Sweeney, spouse, Michael Blum]
Generated description
Michael Blum is best known as the husband of comedian and actress Julia Sweeney.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Blum Target entity description: Michael Blum is best known as the husband of comedian and actress Julia Sweeney.
-
A.
Len Blum
Len Blum is a Canadian screenwriter known for his work on numerous comedy films, including the 2006 reboot of The Pink Panther.
-
B.
Michael Kozoll
Michael Kozoll is an American television writer and producer best known for co-creating the influential police drama series "Hill Street Blues."
-
C.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
-
D.
Michael Wandmacher
Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
-
E.
Martin Klotz
Martin Klotz was an Austrian mountaineer known for being one of the first climbers to reach the summit of the Grossglockner, Austria’s highest peak.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b59fea8819091796e30812df9c5 |
completed | March 8, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b66b1c9cb881908df6998f752f13d0 |
completed | March 15, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69b66cc2f0a081909c3021683ba6c791 |
completed | March 15, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b66d36218481908dd59c49d3d55b71 |
completed | March 15, 2026, 8:26 a.m. |
Created at: March 8, 2026, 3:01 p.m.