Triple
T21440751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicious Cycle |
E528932
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Lucky Man |
—
|
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: Lucky Man | Statement: [Vicious Cycle, hasTrack, Lucky Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucky Man Context triple: [Vicious Cycle, hasTrack, Lucky Man]
-
A.
Lucky Man
chosen
"Lucky Man" is a folk-influenced progressive rock song by Greg Lake, best known from Emerson, Lake & Palmer’s debut album and recognized for its distinctive Moog synthesizer solo.
-
B.
Lucky Man
"Lucky Man" is a 1997 Britpop/alternative rock song by The Verve, known for its reflective lyrics and anthemic, guitar-driven sound.
-
C.
O Lucky Man!
O Lucky Man! is a 1973 British satirical comedy-drama film directed by Lindsay Anderson, following an ambitious coffee salesman on a surreal, episodic journey through class, power, and corruption.
-
D.
Lucky Guy
Lucky Guy is a Broadway play by Nora Ephron that dramatizes the career of New York tabloid columnist Mike McAlary.
-
E.
Lucky
Lucky is a regional supermarket chain brand in the United States known for its neighborhood grocery stores and value-focused offerings.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b70101208190a77bf5dd53dce37a |
completed | April 22, 2026, 11:54 a.m. |
Created at: April 16, 2026, 6:05 p.m.