Triple
T675541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songs in A Minor |
E13068
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Mr. Man |
E66910
|
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: Mr. Man | Statement: [Songs in A Minor, hasPart, Mr. Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Man Context triple: [Songs in A Minor, hasPart, Mr. Man]
-
A.
Mr. Man
chosen
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
B.
Mervin
Mervin is a masculine given name of English origin, often used as a variant of Marvin or Mervyn.
-
C.
Earl
An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
-
D.
Mr. Teabag
Mr. Teabag is a comically absurd civil servant portrayed by John Cleese in Monty Python’s “Ministry of Silly Walks” sketch, known for his exaggerated, nonsensical way of walking.
-
E.
Melvin
Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0266e7c8190a94c4b4b761c59f4 |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6374cc0d48190900e96a374ce35af |
completed | March 3, 2026, 1:20 a.m. |
Created at: March 1, 2026, 7:36 p.m.