Triple
T22255579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damn the Torpedoes |
E550086
|
entity |
| Predicate | previousWork |
P9710
|
FINISHED |
| Object | You're Gonna Get It! |
—
|
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: You're Gonna Get It! | Statement: [Damn the Torpedoes, previousWork, You're Gonna Get It!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You're Gonna Get It! Context triple: [Damn the Torpedoes, previousWork, You're Gonna Get It!]
-
A.
You’re Gonna Get It!
chosen
"You’re Gonna Get It!" is the second studio album by American rock band Tom Petty and the Heartbreakers, showcasing their early blend of heartland rock and new wave influences.
-
B.
Got to Get It
"Got to Get It" is an R&B single by American singer Sisqó, released from his debut solo album "Unleash the Dragon."
-
C.
Get Up & Get It
"Get Up & Get It" is a hip hop track by Bone Thugs-n-Harmony featured on their album "Thug World Order."
-
D.
Come and Get It
Come and Get It is the second solo studio album by British pop singer Rachel Stevens, noted for its polished dance-pop production and critical acclaim.
-
E.
Come and Get It
Come and Get It is a 1936 American drama film, co-directed by Howard Hawks and William Wyler, best known for featuring Walter Brennan in an Oscar-winning supporting performance.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c314308190a5eea84e1750158a |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.