Triple
T17184074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Weston |
E417056
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mystery to Me (album) |
E952486
|
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: Mystery to Me (album) | Statement: [Bob Weston, notableWork, Mystery to Me (album)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mystery to Me (album) Context triple: [Bob Weston, notableWork, Mystery to Me (album)]
-
A.
Mystery to Me
chosen
Mystery to Me is a 1973 rock album by Fleetwood Mac, known for its melodic soft-rock sound and songs like "Hypnotized."
-
B.
Mystery Girl
"Mystery Girl" is the 1989 posthumous studio album by rock and roll pioneer Roy Orbison, featuring some of his most acclaimed late-career recordings.
-
C.
The Mystery
"The Mystery" is a poem by English poet Ralph Hodgson, reflecting his characteristic blend of lyricism, mysticism, and nature imagery.
-
D.
She's a Mystery
"She's a Mystery" is a song by the American rock band Crush, noted for its enigmatic lyrics and emotive rock sound.
-
E.
I Love a Mystery
I Love a Mystery is a classic American radio adventure series known for its suspenseful, serialized mystery stories and colorful recurring 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d9416a48190a5930fcd6008dbaa |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fcc424081908a7e74df0523443e |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.