Triple
T34363393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Underage Thinking |
E881939
|
entity |
| Predicate | mainArtistLaterName |
P176261
|
FINISHED |
| Object | Teddy Geiger |
—
|
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: Teddy Geiger | Statement: [Underage Thinking, mainArtistLaterName, Teddy Geiger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainArtistLaterName Context triple: [Underage Thinking, mainArtistLaterName, Teddy Geiger]
-
A.
mainArtistLaterCameOutAs
Indicates that the primary artist associated with something was later publicly revealed or self-identified as a particular sexual orientation or gender identity.
-
B.
hasArtistCurrentName
Indicates that the specified name is the artist’s current, officially used name.
-
C.
hasFormerStageNameOfArtist
Indicates that one name is a former stage name previously used by an artist.
-
D.
featuredArtistFormerName
Indicates that the featured artist on a work was previously known by a different name, specifying that former name.
-
E.
previousArtistName
chosen
Indicates that an artist previously used a different name before adopting their current one.
- 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 1:58 a.m.