Triple
T11984608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grandpa Joe |
E285245
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bucket |
E958276
|
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: Bucket | Statement: [Grandpa Joe, familyName, Bucket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bucket Context triple: [Grandpa Joe, familyName, Bucket]
-
A.
Bucket
Bucket is a common English surname that appears in literature, most notably in Roald Dahl’s "Charlie and the Chocolate Factory."
-
B.
Bucket family
chosen
The Bucket family is the impoverished but loving household at the center of Roald Dahl’s novel "Charlie and the Chocolate Factory," to which Grandpa Joe and Charlie Bucket belong.
-
C.
The Bucket
"The Bucket" is a song by American rock band Kings of Leon, known for its catchy guitar riffs and reflective lyrics about the pressures of early fame.
-
D.
Bottle
Bottle is a lightweight Python web framework used for building simple web applications and APIs in a single file.
-
E.
Boite
The Boite is a mountain river in the Dolomites of northern Italy that flows through the town of Cortina d'Ampezzo before joining the Piave.
- 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.