Triple
T12811214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael McKean |
E306273
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Susan Russell
Susan Russell is known as the former wife of American actor, comedian, and musician Michael McKean.
|
E1005480
|
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: Susan Russell | Statement: [Michael McKean, spouse, Susan Russell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Russell Context triple: [Michael McKean, spouse, Susan Russell]
-
A.
Roberta Russell
Roberta Russell is best known as the longtime wife of Hall of Fame college basketball coach Lute Olson.
-
B.
Rena Russell
Rena Russell was a film costume designer known for her work on the 1948 noir thriller "Hollow Triumph."
-
C.
Leigh Russell
Leigh Russell is an Australian actress best known for her role in the controversial 1992 film "Romper Stomper."
-
D.
Diane Russell
Diane Russell is a complex, hard-edged yet vulnerable NYPD detective on the television drama "NYPD Blue," known for her struggles with alcoholism and tumultuous personal relationships.
-
E.
Rachel Russell
Rachel Russell was a member of the prominent British Russell family, known historically for its political influence and aristocratic lineage.
- 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: Susan Russell Triple: [Michael McKean, spouse, Susan Russell]
Generated description
Susan Russell is known as the former wife of American actor, comedian, and musician Michael McKean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Russell Target entity description: Susan Russell is known as the former wife of American actor, comedian, and musician Michael McKean.
-
A.
Roberta Russell
Roberta Russell is best known as the longtime wife of Hall of Fame college basketball coach Lute Olson.
-
B.
Rena Russell
Rena Russell was a film costume designer known for her work on the 1948 noir thriller "Hollow Triumph."
-
C.
Leigh Russell
Leigh Russell is an Australian actress best known for her role in the controversial 1992 film "Romper Stomper."
-
D.
Diane Russell
Diane Russell is a complex, hard-edged yet vulnerable NYPD detective on the television drama "NYPD Blue," known for her struggles with alcoholism and tumultuous personal relationships.
-
E.
Rachel Russell
Rachel Russell was a member of the prominent British Russell family, known historically for its political influence and aristocratic lineage.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e817598819080fdd61e9d61236e |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68eca9b448190a819b3807fdbc3f8 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f69277d3d88190abce800c01a8026c |
completed | May 3, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6938150608190a61206cefa3eca1e |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 9, 2026, 5:31 p.m.