Triple
T15403307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janet Waldo |
E368382
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Janet Waldo |
—
|
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: Janet Waldo | Statement: [Janet Waldo, name, Janet Waldo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janet Waldo Context triple: [Janet Waldo, name, Janet Waldo]
-
A.
Janet Waldo
chosen
Janet Waldo was an American radio and voice actress best known for voicing Judy Jetson in the animated television series "The Jetsons."
-
B.
Janet Scudder
Janet Scudder was an American sculptor known for her garden fountains and decorative bronze works, active in the late 19th and early 20th centuries.
-
C.
Janet Ellis
Janet Ellis is a British television presenter and actress best known for her work on children's programmes such as Blue Peter and The Really Wild Show.
-
D.
Ellen Walsh
Ellen Walsh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
E.
Kate Wollman
Kate Wollman was a philanthropist whose donation funded the construction of the famous Wollman Rink in New York City's Central Park.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8ea0ac8190a5c68b1951ad3db1 |
completed | April 16, 2026, 1:42 a.m. |
Created at: April 10, 2026, 3:19 a.m.