Triple
T11124979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wrecking Ball |
E263110
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | song "May This Be Love" |
E442000
|
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: song "May This Be Love" | Statement: [Wrecking Ball, hasPart, song "May This Be Love"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: song "May This Be Love" Context triple: [Wrecking Ball, hasPart, song "May This Be Love"]
-
A.
May This Be Love
chosen
"May This Be Love" is a psychedelic rock song by the Jimi Hendrix Experience, noted for its dreamy lyrics and fluid guitar work on their 1967 debut album.
-
B.
song "Dutty Love"
"Dutty Love" is a popular reggaeton and Latin urban track by Natti Natasha (with Don Omar) that helped launch her to international fame.
-
C.
song "Be Here"
"Be Here" is a soulful R&B song by Raphael Saadiq, known for its smooth groove and retro-inspired production.
-
D.
song "More or Less"
"More or Less" is a track by Talib Kweli from his 2007 hip-hop album "Eardrum."
-
E.
song "Someday Soon"
"Someday Soon" is a folk-country song popularized by Judy Collins that tells the story of a young woman in love with a rodeo rider despite her parents’ disapproval.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7e82fc5f88190b34c55de3d50f6a7 |
completed | April 9, 2026, 5:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d89378c8190acc7afd1ecdbfbac |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 8, 2026, 9:28 p.m.