Triple
T7138886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Land of Take-What-You-Want |
E166386
|
entity |
| Predicate | appearsToCharacters |
P66140
|
FINISHED |
| Object | Bessie |
E166381
|
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: Bessie | Statement: [The Land of Take-What-You-Want, appearsToCharacters, Bessie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bessie Context triple: [The Land of Take-What-You-Want, appearsToCharacters, Bessie]
-
A.
Bessie
Bessie is a feminine given name most famously associated with legendary American blues singer Bessie Smith.
-
B.
Bessie
chosen
Bessie is one of the central child protagonists in Enid Blyton’s classic fantasy series "The Magic Faraway Tree," known for her sensible and caring nature during the siblings’ adventures.
-
C.
Bessie
Bessie is the devoted, self-sacrificing caregiver at the heart of the play and film "Marvin's Room," around whom the story’s family drama and emotional themes revolve.
-
D.
Bess
Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
-
E.
Bess
Bess is a character in Louisa May Alcott’s novel "Little Men," which continues the story of the March family from "Little Women."
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7759a048190815689298befa8d7 |
completed | March 27, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d37833ec819084035e07fc35198b |
completed | March 28, 2026, 1:11 p.m. |
Created at: March 27, 2026, 2:45 p.m.