Triple
T15893707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Shaver |
E385395
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Helen Shaver |
E385395
|
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: Helen Shaver | Statement: [Helen Shaver, name, Helen Shaver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Shaver Context triple: [Helen Shaver, name, Helen Shaver]
-
A.
Helen Shaver
chosen
Helen Shaver is a Canadian actress and director known for her work in film and television since the 1970s, including prominent roles in thrillers and dramas.
-
B.
Betty Reynolds
Betty Reynolds is a sibling of actor James Reynolds, known for his long-running role on the soap opera "Days of Our Lives."
-
C.
Betty Reynolds
Betty Reynolds is the daughter of Canadian actor Ryan Reynolds and American actress Blake Lively.
-
D.
Betty Roberts
Betty Roberts is the ambitious and resourceful young scriptwriter and de facto producer at a 1940s Pittsburgh radio station in the television series "Remember WENN."
-
E.
Gloria Swenson
Gloria Swenson is the tough, streetwise former mob moll who becomes an unlikely protector of a young boy in the crime thriller film "Gloria."
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563727cc819086b5c18b655dd7f6 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b274fa3481908b019036cd2ae627 |
completed | May 10, 2026, 4:29 p.m. |
Created at: April 10, 2026, 4:51 a.m.