Triple
T11984607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grandpa Joe |
E285245
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Grandma Josephine |
E958271
|
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: Grandma Josephine | Statement: [Grandpa Joe, spouse, Grandma Josephine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grandma Josephine Context triple: [Grandpa Joe, spouse, Grandma Josephine]
-
A.
Grandma Josephine
chosen
Grandma Josephine is one of Charlie Bucket’s elderly, bedridden grandmothers in Roald Dahl’s novel "Charlie and the Chocolate Factory."
-
B.
Josephine (grandmother)
Josephine is the grandmother of Omar Little, a key character in the television series "The Wire."
-
C.
Grandmother Spaulding
Grandmother Spaulding is a warm, wise, and nostalgic figure in Ray Bradbury’s novel "Dandelion Wine," embodying the comforts and traditions of small-town family life.
-
D.
Nannie
Nannie is a feminine given name, often used as a diminutive or variant of names like Nancy or Anne.
-
E.
Grandma
Grandma is a key supporting character in the 2020 dark fantasy film "The Witches," serving as the wise and protective guardian who helps her grandson confront a secret society of child-hating witches.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903973c848190aac871d6dfecc74b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48aa73458819097a69b371350743c |
completed | May 1, 2026, 11:12 a.m. |
Created at: April 8, 2026, 9:46 p.m.