Triple
T21679449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supposed Former Infatuation Junkie |
E535060
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Thank U |
—
|
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: Thank U | Statement: [Supposed Former Infatuation Junkie, track, Thank U]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thank U Context triple: [Supposed Former Infatuation Junkie, track, Thank U]
-
A.
Thank U
chosen
"Thank U" is a reflective alternative rock song by Alanis Morissette, known for its introspective lyrics about gratitude and personal growth.
-
B.
Gracias
Gracias is a historic colonial town in western Honduras known for its preserved architecture and proximity to the Celaque National Park and Cerro Las Minas.
-
C.
Grazie
Grazie is a 2006 studio album by Italian rock singer-songwriter Gianna Nannini that blends pop-rock sounds with introspective, socially aware lyrics.
-
D.
Thank U (reprise)
"Thank U (reprise)" is a brief musical number from the stage adaptation of Alanis Morissette’s work, serving as a reflective callback to her hit song "Thank U" within the Jagged Little Pill musical.
-
E.
Thanks
"Thanks" is a film featuring Erika Christensen in a notable role.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a11ce548190aaff404aed6a76cd |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 16, 2026, 6:43 p.m.