Triple
T13564813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Violet Gray |
E324006
|
entity |
| Predicate | oftenInteractsWith |
P25924
|
FINISHED |
| Object | Frieda |
E736343
|
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: Frieda | Statement: [Violet Gray, oftenInteractsWith, Frieda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frieda Context triple: [Violet Gray, oftenInteractsWith, Frieda]
-
A.
Frieda
Frieda is a 1947 British drama film produced by Michael Balcon that explores post-World War II tensions and prejudice in England.
-
B.
Frieda
chosen
Frieda is a minor Peanuts character known for her naturally curly hair and prim personality, who appears alongside Charlie Brown and his friends.
-
C.
Freda
Freda is a feminine given name, often used in English-speaking countries and derived from names like Winifred or Frederica.
-
D.
Fricka
Fricka is the goddess of marriage and the jealous, morally rigid wife of Wotan in Richard Wagner’s Ring Cycle.
-
E.
Berta
Berta is the sharp-tongued, no-nonsense housekeeper known for her sarcastic humor on the sitcom "Two and a Half Men."
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00cecd48190a9a2caff3d424817 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bb1ef508190ab587bd2aa34795b |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.