Triple
T16670108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Adler |
E405085
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Cheryl Swiderski
Cheryl Swiderski is known for her past marriage to Steven Adler, the former drummer of the rock band Guns N' Roses.
|
E1409714
|
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: Cheryl Swiderski | Statement: [Steven Adler, spouse, Cheryl Swiderski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheryl Swiderski Context triple: [Steven Adler, spouse, Cheryl Swiderski]
-
A.
Cheryl Pawelski
Cheryl Pawelski is a Grammy-winning American music producer and archivist known for her work preserving and reissuing classic recordings.
-
B.
Loralee Czuchna
Loralee Czuchna is best known as the second wife of American actor and comedian Don Knotts.
-
C.
Cynthia Tudeski
Cynthia Tudeski is a key character in the crime-comedy film "The Whole Nine Yards," known as the wife of a notorious hitman whose complicated relationships drive much of the movie’s plot.
-
D.
Janine Melnitz
Janine Melnitz is the Ghostbusters’ sharp-tongued, no-nonsense receptionist who provides comic relief and grounded support to the team.
-
E.
Cynthia Scheider
Cynthia Scheider is an American film editor known for her work on movies such as "The Taking of Pelham One Two Three" and "Kramer vs. Kramer."
- 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: Cheryl Swiderski Triple: [Steven Adler, spouse, Cheryl Swiderski]
Generated description
Cheryl Swiderski is known for her past marriage to Steven Adler, the former drummer of the rock band Guns N' Roses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cheryl Swiderski Target entity description: Cheryl Swiderski is known for her past marriage to Steven Adler, the former drummer of the rock band Guns N' Roses.
-
A.
Cheryl Pawelski
Cheryl Pawelski is a Grammy-winning American music producer and archivist known for her work preserving and reissuing classic recordings.
-
B.
Loralee Czuchna
Loralee Czuchna is best known as the second wife of American actor and comedian Don Knotts.
-
C.
Cynthia Tudeski
Cynthia Tudeski is a key character in the crime-comedy film "The Whole Nine Yards," known as the wife of a notorious hitman whose complicated relationships drive much of the movie’s plot.
-
D.
Janine Melnitz
Janine Melnitz is the Ghostbusters’ sharp-tongued, no-nonsense receptionist who provides comic relief and grounded support to the team.
-
E.
Cynthia Scheider
Cynthia Scheider is an American film editor known for her work on movies such as "The Taking of Pelham One Two Three" and "Kramer vs. Kramer."
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca079ec819090b356c86a9241cc |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081f1c707c81908de1424ba3f05828 |
completed | May 16, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a08204234a48190b9f9a1907e9eddf6 |
completed | May 16, 2026, 7:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082112e7bc8190a10cdee4571d053a |
completed | May 16, 2026, 7:47 a.m. |
Created at: April 10, 2026, 5:18 a.m.