Triple
T4869154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Full Moon Fever |
E109043
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | I Won't Back Down |
E109032
|
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: I Won't Back Down | Statement: [Full Moon Fever, hasTrack, I Won't Back Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Won't Back Down Context triple: [Full Moon Fever, hasTrack, I Won't Back Down]
-
A.
I Won't Back Down
chosen
"I Won't Back Down" is a 1989 rock song by Tom Petty that became one of his signature anthems of resilience and defiance.
-
B.
The Eye of the Tiger
The Eye of the Tiger is an adventure novel by Wilbur Smith that follows a former soldier-turned-salvage diver drawn into a dangerous quest for a legendary treasure.
-
C.
Eye of the Tiger
"Eye of the Tiger" is a 1982 hard rock anthem by Survivor, best known as the iconic training and fight theme associated with the Rocky film series.
-
D.
Take Back
"Take Back" is a song featured on Green Day's 1997 album *Nimrod*.
-
E.
Every Which Way but Loose
Every Which Way but Loose is a 1978 American action-comedy film starring Clint Eastwood as a trucker and bare-knuckle brawler who travels with his pet orangutan.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d7d809081909fc7c80c56f72840 |
completed | March 20, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fb25f008190ab9b7cc904b540c9 |
completed | March 21, 2026, 10:15 a.m. |
Created at: March 20, 2026, 1:27 p.m.