Triple
T15782091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chiffons |
E382641
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object | Sylvia Peterson |
—
|
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: Sylvia Peterson | Statement: [The Chiffons, hasFormerMember, Sylvia Peterson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvia Peterson Context triple: [The Chiffons, hasFormerMember, Sylvia Peterson]
-
A.
Sylvia Peterson
chosen
Sylvia Peterson is an American singer best known as a member of the 1960s girl group The Chiffons, who had hits like "He's So Fine" and "One Fine Day."
-
B.
Elizabeth Peterson
Elizabeth Peterson is an actress known for her role in the fantasy action film "Avengers Grimm."
-
C.
Sally Peterson
Sally Peterson is known as the spouse of American investment banker and former U.S. Secretary of Commerce Peter G. Peterson.
-
D.
Carol Peterson
Carol Peterson is a suburban housewife and the suspicious, strong-willed wife of Ray Peterson in the dark comedy film "The 'Burbs."
-
E.
Sylvia Weis
Sylvia Weis is a central character in the science-fiction film "In Time," portrayed as a wealthy young woman who becomes an ally and love interest to the protagonist in his fight against a time-based class system.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05400716881909bc43212c8ea54d5 |
completed | April 16, 2026, 3:14 a.m. |
Created at: April 10, 2026, 4:48 a.m.