Triple
T33550498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frida |
E859317
|
entity |
| Predicate | hasArtistLaterKnownFor |
P194914
|
FINISHED |
| Object | membership in ABBA |
—
|
LITERAL 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: membership in ABBA | Statement: [Frida, hasArtistLaterKnownFor, membership in ABBA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtistLaterKnownFor Context triple: [Frida, hasArtistLaterKnownFor, membership in ABBA]
-
A.
recordingArtistLaterKnownAs
Indicates that the subject is a recording artist who was later known by the name or identity represented by the object.
-
B.
mainArtistLaterCameOutAs
Indicates that the primary artist associated with something was later publicly revealed or self-identified as a particular sexual orientation or gender identity.
-
C.
recordingArtistPreviouslyKnownAs
Indicates that the recording artist currently known by one name was formerly known and credited under a different name.
-
D.
hasArtistCurrentName
Indicates that the specified name is the artist’s current, officially used name.
-
E.
notableFormerArtist
Indicates that the subject was previously an artist associated with the object and is recognized as notable in that former artistic role.
- F. None of above. chosen
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_69f3497b2b68819093207971b5e13dc8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
| PDg | Predicate description generation | batch_69fd8e5e9ca48190890a2caddc1f9f5c |
completed | May 8, 2026, 7:18 a.m. |
Created at: May 1, 2026, 1:39 a.m.