Triple
T33574467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am Just a Girl |
E859991
|
entity |
| Predicate | recordingArtistFormerNameOf |
P193615
|
FINISHED |
| Object | ABBA |
—
|
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: ABBA | Statement: [I Am Just a Girl, recordingArtistFormerNameOf, ABBA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordingArtistFormerNameOf Context triple: [I Am Just a Girl, recordingArtistFormerNameOf, ABBA]
-
A.
recordingArtistPreviouslyKnownAs
chosen
Indicates that the recording artist currently known by one name was formerly known and credited under a different name.
-
B.
recordingArtistLaterKnownAs
Indicates that the subject is a recording artist who was later known by the name or identity represented by the object.
-
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.
hasFormerStageNameOfArtist
Indicates that one name is a former stage name previously used by an artist.
- 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_69f3497d37848190afcbb5ef3f5c7376 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 1, 2026, 1:40 a.m.