Triple
T5341682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca |
E123957
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Bex |
E28995
|
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: Bex | Statement: [Rebecca, hasShortForm, Bex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bex Context triple: [Rebecca, hasShortForm, Bex]
-
A.
Bex
chosen
Bex is a common shortened form of the given name Rebecca, often used as a casual or affectionate nickname.
-
B.
Becks
Becks is a popular German beer brand, formally known as Beck's, recognized worldwide for its pilsner-style lager.
-
C.
Beyton
Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
-
D.
Bec
Bec is a historic Benedictine abbey in Normandy, France, renowned as a major medieval center of learning and monastic reform.
-
E.
Bix Caleen
Bix Caleen is a resourceful mechanic and black-market dealer from the Star Wars series "Andor," known for her close ties to Cassian Andor and involvement in early Rebel activities.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85cb250c81908a48e4e2bbebbdb9 |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18c8db388190a31f55854e7370fc |
completed | March 21, 2026, 10:16 p.m. |
Created at: March 20, 2026, 2 p.m.