Triple
T21877517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hard Attack |
E540186
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | All in All |
—
|
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: All in All | Statement: [Hard Attack, hasTrack, All in All]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All in All Context triple: [Hard Attack, hasTrack, All in All]
-
A.
All in All
chosen
"All in All" is a song best known as a 1978 disco and R&B hit by the American group Earth, Wind & Fire.
-
B.
All of It
All of It is a theatrical work best known as a prominent stage performance by British actress Kate O’Flynn.
-
C.
Some Gave All
Some Gave All is Billy Ray Cyrus’s debut country album, best known for the hit single “Achy Breaky Heart” and its massive early-1990s commercial success.
-
D.
Now is All
"Now is All" is the official slogan associated with Laʼeeb, the mascot of the 2022 FIFA World Cup in Qatar, emphasizing living fully in the present moment.
-
E.
Above All
"Above All" is a widely known contemporary Christian worship song, popularized by Michael W. Smith for its reflective lyrics on the supremacy and sacrifice of Jesus.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33c012c819096d0f7b2ffdc7a2f |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:02 p.m.