Triple
T991714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back to Bedlam |
E21405
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Wisemen |
E98701
|
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: Wisemen | Statement: [Back to Bedlam, includesSong, Wisemen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wisemen Context triple: [Back to Bedlam, includesSong, Wisemen]
-
A.
Wisemen
chosen
"Wisemen" is a song by British singer-songwriter James Blunt, featured on his debut studio album "Back to Bedlam."
-
B.
Lord of Wisdom
Lord of Wisdom is an epithet of the Hindu deity Ganesha, highlighting his role as the divine patron of intellect, learning, and discernment.
-
C.
The Five
The Five is a Fox News Channel weekday panel show where five co-hosts discuss current news, politics, and pop culture from a generally conservative perspective.
-
D.
Queensmen
Queensmen was the historic nickname used for Rutgers University's athletic teams, particularly its football program, before they became known as the Scarlet Knights.
-
E.
Royal Knights
Royal Knights are a chivalric title historically bestowed upon elite warriors or nobles who pledged fealty to a monarch and upheld codes of honor and service.
- 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.