Triple
T1911959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Becky |
E38129
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Beckie |
E38129
|
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: Beckie | Statement: [Becky, hasVariant, Beckie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beckie Context triple: [Becky, hasVariant, Beckie]
-
A.
Becky
chosen
Becky is a common English feminine given name, typically used as a diminutive of Rebecca.
-
B.
Julie Beckman
Julie Beckman is an American architect best known for co-designing the National 9/11 Pentagon Memorial in Arlington, Virginia.
-
C.
Binkie Beaumont
Binkie Beaumont was a prominent British theatrical producer and manager known for his influential role in mid-20th-century West End theatre.
-
D.
Sarah Cloyce
Sarah Cloyce was a woman accused during the Salem witch trials, known for being the sister of fellow accused Rebecca Nurse and for later helping to challenge the legitimacy of the proceedings.
-
E.
Hassie McCoy
Hassie McCoy is a fictional character from the classic American television sitcom "The Real McCoys," portrayed as one of the McCoy family children.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1e15f148190bf834ec5f3abf83e |
completed | March 7, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3d5972881908856b75b324a1ad2 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.