Triple
T9539759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lady Eve |
E230118
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Janet Beecher |
E594700
|
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: Janet Beecher | Statement: [The Lady Eve, castMember, Janet Beecher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janet Beecher Context triple: [The Lady Eve, castMember, Janet Beecher]
-
A.
Janet Beecher
chosen
Janet Beecher was an American stage and film actress active in the early 20th century, known for her character roles in numerous Hollywood productions.
-
B.
Beverly Van Zile
Beverly Van Zile is best known as the second wife of Apollo 11 astronaut Buzz Aldrin.
-
C.
Janice Felts
Janice Felts is known as the sister of American actress Dixie Carter, who starred in the television series "Designing Women."
-
D.
Beverly Prochnow
Beverly Prochnow is known as the spouse of German actor Jürgen Prochnow, recognized for his roles in films such as "Das Boot."
-
E.
Janet Healy
Janet Healy is a film producer known for her work on animated features, including the 2012 adaptation of Dr. Seuss's "The Lorax."
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e4df6c8190a4d1160c42daa45f |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50983ce848190ab375145019ff69b |
completed | April 19, 2026, 4:57 p.m. |
Created at: March 30, 2026, 8:01 p.m.