Triple
T6362668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life Is Sweet |
E143147
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Wendy |
E46511
|
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: Wendy | Statement: [Life Is Sweet, mainCharacter, Wendy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendy Context triple: [Life Is Sweet, mainCharacter, Wendy]
-
A.
Wendy
chosen
Wendy is a character portrayed by actress and model Jamie King, known from her work in film and television.
-
B.
Wendy
Wendy is a musician best known as the guitarist for Prince’s band The Revolution and as half of the duo Wendy & Lisa.
-
C.
Wendy
Wendy is a feminine given name of English origin, popularized by J.M. Barrie’s character Wendy Darling in "Peter Pan."
-
D.
Wendy & Lisa
Wendy & Lisa is an American musical duo best known for their work with Prince and The Revolution and their subsequent career composing and performing their own eclectic pop, rock, and soundtrack music.
-
E.
Betty
"Betty" is a renowned photorealistic painting by German artist Gerhard Richter, depicting his daughter turning away from the viewer and exemplifying his exploration of perception and representation.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0680c02b481908618317566e31a5c |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d73a6ac8190a02602c3506e4226 |
completed | March 27, 2026, 7:10 a.m. |
Created at: March 22, 2026, 4:32 p.m.