Triple
T20624847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indestructible |
E506790
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Fall Back Down |
—
|
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: Fall Back Down | Statement: [Indestructible, hasPart, Fall Back Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fall Back Down Context triple: [Indestructible, hasPart, Fall Back Down]
-
A.
Fall Back Down
chosen
"Fall Back Down" is a 2003 punk rock single by American band Rancid, known for its melodic, ska-influenced sound and themes of resilience and solidarity.
-
B.
Keep Falling
"Keep Falling" is a song featured on the album "Hard Believer" by the British band Fink.
-
C.
All Fall Down
All Fall Down is a folk-rock album by American singer-songwriter Shawn Colvin, noted for its introspective songwriting and mature, acoustic-driven sound.
-
D.
All Fall Down
All Fall Down is a 1960 novel by James Leo Herlihy that explores the moral disintegration of a charismatic but destructive young man as seen through the eyes of his adoring younger brother.
-
E.
Fall Out, Fall In
"Fall Out, Fall In" is a 1943 Walt Disney animated short featuring Donald Duck enduring the hardships and routines of military life during World War II.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe3d76c8190a8a5cb52bb9bfc2b |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.