Triple
T10495364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boomers |
E247524
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Stephanie Beacham |
E504862
|
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: Stephanie Beacham | Statement: [Boomers, stars, Stephanie Beacham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephanie Beacham Context triple: [Boomers, stars, Stephanie Beacham]
-
A.
Stephanie Beacham
chosen
Stephanie Beacham is a British actress known for her work in television dramas and soap operas, including prominent roles in series like Dynasty and The Colbys.
-
B.
Leslie Ann Woodward
Leslie Ann Woodward is known as a former spouse of American film producer and studio executive Robert Evans.
-
C.
Chynna Phillips
Chynna Phillips is an American singer and actress best known as a member of the pop group Wilson Phillips.
-
D.
Paget Brewster
Paget Brewster is an American actress best known for her roles in television series such as "Criminal Minds," "Friends," and various comedic and voice-acting projects.
-
E.
Kristy McNichol
Kristy McNichol is an American actress best known for her Emmy-winning role on the TV drama "Family" and her work in films like "Little Darlings" and "Only When I Laugh."
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098be488819083d614f528cd82fb |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933d4b63081909ad297038fb74bed |
completed | April 10, 2026, 5:31 p.m. |
Created at: April 6, 2026, 12:24 p.m.