Triple
T22541324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Accidental Husband |
E557294
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Suzy Elmiger |
—
|
NE NERFINISHED |
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: Suzy Elmiger | Statement: [The Accidental Husband, editor, Suzy Elmiger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzy Elmiger Context triple: [The Accidental Husband, editor, Suzy Elmiger]
-
A.
Suzy Elmiger
chosen
Suzy Elmiger is a film editor known for her work on projects such as the adaptation of Kurt Vonnegut’s "Breakfast of Champions."
-
B.
Suzy Blau
Suzy Blau is a woman known primarily as the sister of author and witchcraft teacher Deborah Blake.
-
C.
Susie Youssef
Susie Youssef is an Australian comedian, actor, and writer known for her work in sketch comedy, stand-up, and television.
-
D.
Suzy Berhow
Suzy Berhow is an American animator, artist, and YouTube personality best known for her work on Game Grumps–related content and her own channels, such as KittyKatGaming.
-
E.
Gretchen Ebrahim
Gretchen Ebrahim is best known as the spouse of American character actor and screenwriter Cliff Osmond.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f3251808190a72b849157854d8d |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.