Triple
T1594703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild |
E34252
|
entity |
| Predicate | hasMusicVideo |
P3287
|
FINISHED |
| Object | Wild (music video) |
E34252
|
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: Wild (music video) | Statement: [Wild, hasMusicVideo, Wild (music video)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wild (music video) Context triple: [Wild, hasMusicVideo, Wild (music video)]
-
A.
Wild
chosen
"Wild" is a song by John Legend from his album "Bigger Love," known for its romantic themes and soulful R&B style.
-
B.
Wild One
Wild One is a classic wooden roller coaster located at Six Flags America, known for its historic status and traditional out-and-back layout.
-
C.
Wild One
"Wild One" is a song by Green Day featured on their album ¡Dos!.
-
D.
The Wild
The Wild is a themed area of the Saint Louis Zoo that immerses visitors in habitats featuring animals from rugged, remote, and often colder regions of the world.
-
E.
Wildes
Wildes is a surname of English origin borne by various individuals, including Sarah Wildes.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9092aed308190a0198a0fb977a9e5 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46a595488190a73cfa867595b568 |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 4, 2026, 7:27 p.m.