Triple
T20031757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Crusher |
E497144
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | The Crusher |
—
|
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: The Crusher | Statement: [The Crusher, title, The Crusher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Crusher Context triple: [The Crusher, title, The Crusher]
-
A.
The Crusher
chosen
"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.
-
B.
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.
-
C.
Crusher
Crusher is the surname of Beverly Crusher, the chief medical officer character from Star Trek: The Next Generation.
-
D.
"Crusher"
"Crusher" is a young adult crime thriller novel by Niall Leonard about a teenager who sets out to solve his father's murder while becoming the prime suspect himself.
-
E.
Bonecrusher
Bonecrusher is a Decepticon from the Transformers franchise, typically depicted as a brutal, heavily armed combatant who revels in destruction.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66292a80c81908adf95766b3b4ac4 |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:36 p.m.