Triple
T6498912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Harvey Zeiger |
E148828
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Mickey Sutphin |
E101357
|
NE FINISHED |
How this triple was built (2 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: Mickey Sutphin | Statement: [Lawrence Harvey Zeiger, spouse, Mickey Sutphin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mickey Sutphin Context triple: [Lawrence Harvey Zeiger, spouse, Mickey Sutphin]
-
A.
Mickey Sutphin
chosen
Mickey Sutphin is known as one of the former wives of famed American television and radio host Larry King.
-
B.
Vic Schoen
Vic Schoen was an American bandleader, arranger, and composer best known for his work in film and popular music, including scores for classic mid-20th-century comedies and collaborations with major vocal groups.
-
C.
Mickey Shaughnessy
Mickey Shaughnessy was an American character actor and comedian known for his tough-but-amiable roles in mid-20th-century films.
-
D.
Milt Schaffer
Milt Schaffer was an American animator and story artist best known for his work on classic Disney cartoons in the mid-20th century.
-
E.
Ed Furillo
Ed Furillo is a tough, cynical middle-aged man grappling with a midlife crisis in the comedy film "City Slickers," where he joins friends on a cattle drive to rediscover purpose and meaning.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c687e9ad288190bae5bcac9c8ac855 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c68ad00d10819096c43f311388fa3a |
completed | March 27, 2026, 1:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70062ec108190a9cb2655cd136d33 |
completed | March 27, 2026, 10:10 p.m. |
Created at: March 27, 2026, 1:41 p.m.