Triple
T19611677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wishing It Was |
E470746
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Toni Lindsay |
—
|
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: Toni Lindsay | Statement: [Wishing It Was, lyricist, Toni Lindsay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toni Lindsay Context triple: [Wishing It Was, lyricist, Toni Lindsay]
-
A.
Toni Lindsay
chosen
Toni Lindsay is a musician and songwriter known for composing the track "Wishing It Was."
-
B.
Donna Lindsay
Donna Lindsay was the first wife of American medical researcher Jonas Salk, with whom she shared much of his early career and family life.
-
C.
Toni Stevens
Toni Stevens is a film producer known for her work on the animated feature "PAW Patrol: The Movie."
-
D.
Linda Larkin
Linda Larkin is an American actress best known for providing the speaking voice of Princess Jasmine in Disney’s animated film "Aladdin" and its related media.
-
E.
Nancy Lindsay
Nancy Lindsay was a British plantswoman and garden designer known for continuing her mother Norah Lindsay’s horticultural legacy and for her plant-collecting travels.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640cbeda08190addb1adf84af4993 |
completed | April 20, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:43 p.m.