Triple
T17655179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blossom |
E429601
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Deborah Blossom |
—
|
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: Deborah Blossom | Statement: [Blossom, hasNotableBearer, Deborah Blossom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deborah Blossom Context triple: [Blossom, hasNotableBearer, Deborah Blossom]
-
A.
Deborah Blossom
chosen
Deborah Blossom is the daughter of American character actor Roberts Scott Blossom, known for his distinctive roles in film and television.
-
B.
Lois Blossom
Lois Blossom was the wife of American character actor and poet Roberts Blossom.
-
C.
Hilda Spellman
Hilda Spellman is a quirky, warm-hearted witch and Sabrina Spellman’s fun-loving aunt in the Sabrina the Teenage Witch franchise.
-
D.
Judy Huxtable
Judy Huxtable is a British actress and model best known for her work in the 1960s and 1970s, including appearances in film and television.
-
E.
Esther Harper
Esther Harper is a character in the animated adventure film "The Sea Beast," depicted as a determined and courageous figure involved in the story’s high-seas monster-hunting exploits.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3fc6e8819080098a3cd0183811 |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:06 a.m.