Triple
T991720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back to Bedlam |
E21405
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | No Bravery |
E98706
|
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: No Bravery | Statement: [Back to Bedlam, includesSong, No Bravery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: No Bravery Context triple: [Back to Bedlam, includesSong, No Bravery]
-
A.
No Bravery
chosen
"No Bravery" is a somber, anti-war ballad by James Blunt that appears as a track on his debut album "Back to Bedlam."
-
B.
No Pride
"No Pride" is a song by the American punk rock band Insomniac.
-
C.
Quiet Strength
"Quiet Strength" is a memoir by civil rights icon Rosa Parks that reflects on her life, faith, and role in the struggle for racial justice.
-
D.
Not-a-Flamethrower
Not-a-Flamethrower is a limited-edition, flamethrower-like novelty device sold by Elon Musk’s The Boring Company as a tongue-in-cheek promotional product.
-
E.
Barely Lethal
Barely Lethal is a 2015 action-comedy film about a teenage assassin trying to live a normal high school life, starring Hailee Steinfeld and Samuel L. Jackson.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c25e5081909ff1ada6b8bf617a |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac258f823c8190afeff79b6a4df911 |
completed | March 7, 2026, 1:18 p.m. |
Created at: March 1, 2026, 7:41 p.m.