Triple
T7298931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Journeyman |
E167790
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | No Alibis |
E655104
|
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 Alibis | Statement: [Journeyman, hasSingle, No Alibis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: No Alibis Context triple: [Journeyman, hasSingle, No Alibis]
-
A.
No Alibis
chosen
"No Alibis" is a song featured on the album *Journeyman* by Eric Clapton.
-
B.
No Alibi
"No Alibi" is a track by hip hop band The Roots from their acclaimed 1996 album *Illadelph Halflife*.
-
C.
Waiting for an Alibi
"Waiting for an Alibi" is a 1979 hard rock song by Irish band Thin Lizzy, known as one of their signature tracks from the album Black Rose: A Rock Legend.
-
D.
The Alibi
The Alibi is a film project on which acclaimed American film editor Jay Cassidy contributed his editing expertise.
-
E.
The Suspect
"The Suspect" is a 1944 film noir thriller in which Charles Laughton plays a mild-mannered Victorian-era clerk driven toward murder, noted for its atmospheric direction by Robert Siodmak.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebad1b4481909e49ccc580007e4b |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eee71f5c8190aaff605eeff07390 |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3 p.m.