Triple
T1559902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bess Truman |
E33294
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Bess |
E16680
|
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: Bess | Statement: [Bess Truman, nickname, Bess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bess Context triple: [Bess Truman, nickname, Bess]
-
A.
Bess
chosen
Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
-
B.
Mollie
Mollie is a young girl in Enid Blyton's "The Wishing-Chair" series who, along with her brother Peter, goes on magical adventures using a flying wishing-chair.
-
C.
Bess Meredyth
Bess Meredyth was an American screenwriter and silent film pioneer known for her influential work in early Hollywood cinema.
-
D.
Bessie
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.
-
E.
Elsie
Elsie is a fictional character from the post-apocalyptic virtual reality game "After the Fall."
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90885d6208190b4b7d6ad336d4d16 |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3712e2ac81908c66f18fa89d46f2 |
completed | March 8, 2026, 8:45 a.m. |
Created at: March 4, 2026, 7:27 p.m.