Triple
T12048791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patti Hansen |
E286856
|
entity |
| Predicate | modeledFor |
P2006
|
FINISHED |
| Object | Seventeen |
E447055
|
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: Seventeen | Statement: [Patti Hansen, modeledFor, Seventeen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seventeen Context triple: [Patti Hansen, modeledFor, Seventeen]
-
A.
Seventeen
chosen
Seventeen is a long-running American teen magazine focused on fashion, beauty, relationships, and lifestyle for teenage girls.
-
B.
Seventeen
Seventeen is a popular South Korean boy group known for their synchronized performances, self-produced music, and large multi-unit lineup.
-
C.
Twice
Twice is a South Korean girl group formed by JYP Entertainment, known for their catchy pop songs and significant influence on the global K-pop scene.
-
D.
Loona
Loona is a celebrated Punjabi epic verse play by Shiv Kumar Batalvi that reimagines the traditional legend of Puran Bhagat from the perspective of the vilified stepmother, Loona.
-
E.
Selena Gomez & the Scene
Selena Gomez & the Scene was an American pop band fronted by singer and actress Selena Gomez, known for its catchy teen-pop and dance-pop hits in the late 2000s and early 2010s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904211b588190bfc7603e5b33dcb7 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dc459308190bc88cb550e1d5b86 |
completed | May 1, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:47 p.m.