Triple
T24076435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Road |
E596374
|
entity |
| Predicate | hasArtistFormerlyIn |
P110777
|
FINISHED |
| Object | Take That |
—
|
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: Take That | Statement: [Open Road, hasArtistFormerlyIn, Take That]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtistFormerlyIn Context triple: [Open Road, hasArtistFormerlyIn, Take That]
-
A.
hasArtistFormerGroup
chosen
Indicates that an artist was previously a member of a particular group or band.
-
B.
hasFormerStageNameOfArtist
Indicates that one name is a former stage name previously used by an artist.
-
C.
featuredArtistFormerName
Indicates that the featured artist on a work was previously known by a different name, specifying that former name.
-
D.
notableFormerArtist
Indicates that the subject was previously an artist associated with the object and is recognized as notable in that former artistic role.
-
E.
hasArtistPreviousGenre
Indicates that an artist was associated with a different musical genre in the past, prior to their current or primary genre.
- F. None of above.
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_69e288c3999c8190809b282a04813dec |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db1e959c81909f4365b5d7f934d9 |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:42 p.m.