Triple
T14553471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowborn |
E341477
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Innocent |
E798215
|
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: Innocent | Statement: [Lowborn, hasTrack, Innocent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Innocent Context triple: [Lowborn, hasTrack, Innocent]
-
A.
Innocent
Innocent is a "holy fool" figure in the Russian Orthodox tradition, embodying spiritual wisdom through apparent madness and humility.
-
B.
Innocent
chosen
"Innocent" is a reflective, forgiving ballad by Taylor Swift from her album *Speak Now*, widely interpreted as addressing the fallout from Kanye West's interruption of her 2009 MTV VMA speech.
-
C.
Young and Innocent
Young and Innocent is a 1937 British thriller film directed by Alfred Hitchcock, known for its blend of suspense, mistaken identity, and innovative camera work.
-
D.
Innocent Victim
Innocent Victim is a film featuring actress Victoria Tennant, known for its dramatic exploration of crime and personal tragedy.
-
E.
Innocence
Innocence is a film score composed by Australian jazz musician and composer Paul Grabowsky for the 2000 Australian drama film of the same name.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f00cec8190a7b6482d18b9a216 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94afc95c8190ae4aff12c9d69c88 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:23 a.m.