Triple
T13703347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendy & Lisa (album) |
E328573
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Wendy & Lisa |
E328572
|
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 & Lisa | Statement: [Wendy & Lisa (album), title, Wendy & Lisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendy & Lisa Context triple: [Wendy & Lisa (album), title, Wendy & Lisa]
-
A.
Wendy & Lisa
chosen
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.
-
B.
Lottie and Lisa
Lottie and Lisa is a 1949 German children's novel by Erich Kästner about identical twin girls separated at birth who meet at a summer camp and switch places to reunite their divorced parents.
-
C.
Wendy
Wendy is a character portrayed by actress and model Jamie King, known from her work in film and television.
-
D.
Wendy
Wendy is an animated fantasy film scored by composer Dan Romer.
-
E.
Wendy
Wendy is a feminine given name of English origin, popularized by J.M. Barrie’s character Wendy Darling in "Peter Pan."
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad162158819089280ee1e6b5c2cf |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a8437af481909f91bb41bfdac53a |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:54 p.m.