Triple
T23044873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elaine Stewart |
E573848
|
entity |
| Predicate | usedStageName |
P3799
|
FINISHED |
| Object | Elaine Stewart |
—
|
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: Elaine Stewart | Statement: [Elaine Stewart, usedStageName, Elaine Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elaine Stewart Context triple: [Elaine Stewart, usedStageName, Elaine Stewart]
-
A.
Elaine Stewart
chosen
Elaine Stewart was an American film actress and model known for her glamorous roles in 1950s Hollywood cinema.
-
B.
Elaine Madsen
Elaine Madsen is an American filmmaker, producer, and Emmy Award–winning documentarian, also known as the mother of actor Michael Madsen.
-
C.
Elaine Barrish
Elaine Barrish is a fictional former First Lady and Secretary of State who navigates political and family turmoil in the television miniseries "Political Animals."
-
D.
Elizabeth Dailey
Elizabeth Dailey is known primarily as the spouse of American actor and dancer Dan Dailey.
-
E.
Elaine Lively
Elaine Lively is an American talent manager and actress best known as the mother of actress Blake Lively.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1851811e08190a5af6a112687327e |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:54 p.m.