Triple
T23290718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Want My Wife Back |
E590021
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Bex |
—
|
NE NERFINISHED |
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: [I Want My Wife Back, mainCharacter, Bex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bex Context triple: [I Want My Wife Back, mainCharacter, Bex]
-
A.
Bex
chosen
Bex is a common shortened form of the given name Rebecca, often used as a casual or affectionate nickname.
-
B.
Bex
Bex is a municipality in the canton of Vaud in southwestern Switzerland, known for its historic salt mines and location in the Rhône valley near the Alps.
-
C.
Becks
Becks is a popular German beer brand, formally known as Beck's, recognized worldwide for its pilsner-style lager.
-
D.
Bebb
Bebb is a surname most notably associated with Charles Bebb, an influential architect in the early development of Seattle’s built environment.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cb3fec8190a95255da97dd984e |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:01 p.m.