Triple
T33803929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Child (Mark Owen song) |
E866327
|
entity |
| Predicate | hasRecordingArtistFormerlyOf |
P110777
|
FINISHED |
| Object | Take That |
E34425
|
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: Take That | Statement: [Child (Mark Owen song), hasRecordingArtistFormerlyOf, Take That]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecordingArtistFormerlyOf Context triple: [Child (Mark Owen song), hasRecordingArtistFormerlyOf, Take That]
-
A.
recordingArtistPreviouslyKnownAs
Indicates that the recording artist currently known by one name was formerly known and credited under a different name.
-
B.
hasArtistFormerGroup
chosen
Indicates that an artist was previously a member of a particular group or band.
-
C.
hasFormerStageNameOfArtist
Indicates that one name is a former stage name previously used by an artist.
-
D.
recordingArtistLaterKnownAs
Indicates that the subject is a recording artist who was later known by the name or identity represented by the object.
-
E.
hasArtistLaterKnownFor
Indicates that an entity is associated with an artist who, at a later time, became notably known or recognized under that identity.
- F. None of above.
Provenance (4 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_69f3499057fc81909d862b1309a3bd71 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36760934408190915f213ef79baa53 |
completed | June 20, 2026, 11:14 a.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:46 a.m.