Triple
T16439440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wildness |
E399259
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Heal Me |
E832219
|
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: Heal Me | Statement: [Wildness, hasTrack, Heal Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heal Me Context triple: [Wildness, hasTrack, Heal Me]
-
A.
Heal Me
chosen
"Heal Me" is a pop song featured on the soundtrack of the 2018 film *A Star Is Born*, performed by Lady Gaga.
-
B.
Heal You
"Heal You" is a musical work by contemporary Scottish composer and producer Anna Meredith, known for her genre-blending, experimental style.
-
C.
Soothe Me
"Soothe Me" is a classic soul song popularized by the American duo Sam & Dave, known for its smooth vocals and emotive, gospel-infused style.
-
D.
Care for Me
"Care for Me" is an R&B ballad by the American vocal group Az Yet, showcasing their smooth harmonies and emotive vocal style.
-
E.
Care for Me
Care for Me is a critically acclaimed, introspective hip-hop album by Chicago rapper Saba that explores grief, trauma, and healing through intimate storytelling and jazz-influenced production.
- 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_69e32ba720a48190b0b412225e993e52 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458dde8881909778c9964ddc8efa |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.