Triple
T16437826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neighborhoods |
E399220
|
entity |
| Predicate | thirdSingle |
P25309
|
FINISHED |
| Object | Wishing Well |
E590540
|
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: Wishing Well | Statement: [Neighborhoods, thirdSingle, Wishing Well]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wishing Well Context triple: [Neighborhoods, thirdSingle, Wishing Well]
-
A.
Wishing Well
Wishing Well is a popular underground pool feature in Luray Caverns where visitors toss coins while making wishes, with the collected money often donated to charity.
-
B.
Wishing Well
"Wishing Well" is a posthumously released emo-rap song by Juice WRLD that reflects on his struggles with addiction and mental health.
-
C.
Wishing Well
chosen
"Wishing Well" is a song by the English rock band Free, best known for its blues-rock style and Paul Rodgers' powerful vocals.
-
D.
Don’t Wish Me Well
"Don’t Wish Me Well" is a reflective, R&B-influenced track by Solange from her critically acclaimed album *A Seat at the Table*, exploring themes of self-preservation and emotional boundaries.
-
E.
Wish You Well
"Wish You Well" is a 2013 drama film adaptation of David Baldacci's novel, featuring Mackenzie Foy as a young girl who moves to rural Virginia after a family tragedy.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba5a4748190b63ff53bfb5957c7 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458b91bc8190b40af99faf5e74ab |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:10 a.m.