Triple
T10810837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheila MacRae |
E255094
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sheila MacRae |
E255094
|
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: Sheila MacRae | Statement: [Sheila MacRae, name, Sheila MacRae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheila MacRae Context triple: [Sheila MacRae, name, Sheila MacRae]
-
A.
Sheila MacRae
chosen
Sheila MacRae was a British-born American actress, singer, and dancer best known for her role as Alice Kramden on the 1960s revival of the television series "The Honeymooners."
-
B.
Ann MacMillan
Ann MacMillan is a Canadian journalist and broadcaster, known for her long career with the CBC and as the mother of British historian and television presenter Dan Snow.
-
C.
Marianne Macdonald
Marianne Macdonald is a television producer best known for her executive production work on the historical comedy-drama series "The Great."
-
D.
Sheila McKenna
Sheila McKenna is an actress known for her role in the television film "The Josephine Baker Story."
-
E.
Alison Fraser
Alison Fraser is an American actress and singer best known for her work in musical theatre, including multiple Tony-nominated performances on Broadway.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b7bfac8190b6ae34144376d6ad |
completed | April 9, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7c0907c8190b092bb6754fe4e52 |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:18 p.m.