Triple
T22670367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Road to Ruin |
E559901
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | I’m Against 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: I’m Against It | Statement: [Road to Ruin, hasPart, I’m Against It]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I’m Against It Context triple: [Road to Ruin, hasPart, I’m Against It]
-
A.
I’m Against It
chosen
"I'm Against It" is a satirical song by the Ramones, featured on their 1978 punk rock album "Road to Ruin."
-
B.
Up Against It
Up Against It is an unproduced, darkly comic screenplay written by British playwright Joe Orton, originally commissioned for The Beatles in the 1960s.
-
C.
Up Against It
Up Against It is a work whose title suggests themes of struggle or adversity, and it appears as a component within the larger bilingual collection titled "Bilingual."
-
D.
You Against You
"You Against You" is a fast, aggressive thrash metal song by Slayer from their 2015 album *Repentless*, known for its intense riffs and violent, high-energy music video.
-
E.
Song Against Itself
"Song Against Itself" is a track by the American noise rock band Shellac, featured on their 2000 album *1000 Hurts*.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781f946c8190add74a7dac2b1819 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.