Triple
T13718565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rappa Ternt Sanga |
E328965
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Bone Crusher |
E1034309
|
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: Bone Crusher | Statement: [Rappa Ternt Sanga, featuresArtist, Bone Crusher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bone Crusher Context triple: [Rappa Ternt Sanga, featuresArtist, Bone Crusher]
-
A.
Bone Crusher
chosen
Bone Crusher is an American rapper and producer best known for his 2003 hit single "Never Scared" and his role in Atlanta's crunk music scene.
-
B.
Bonecrusher
Bonecrusher is a Decepticon from the Transformers franchise, typically depicted as a brutal, heavily armed combatant who revels in destruction.
-
C.
The Crusher
"The Crusher" is a song by the Ramones, featured on their 1995 album ¡Adios Amigos!, known for its wrestling-themed lyrics and high-energy punk style.
-
D.
Crusher
Crusher is a rock golem–like Earth-element Giant from the Skylanders video game series, known for wielding a massive stone hammer to crush enemies.
-
E.
Crusher
Crusher is the surname of Beverly Crusher, the chief medical officer character from Star Trek: The Next Generation.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd439a121c81908cae964e7756274c |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5a23bc8190942568658665bbb0 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.