Triple
T13060340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lumineers |
E329178
|
entity |
| Predicate | formerMember |
P1168
|
FINISHED |
| Object | Neyla Pekarek |
E1018861
|
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: Neyla Pekarek | Statement: [The Lumineers, formerMember, Neyla Pekarek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neyla Pekarek Context triple: [The Lumineers, formerMember, Neyla Pekarek]
-
A.
Neyla Pekarek
chosen
Neyla Pekarek is an American cellist and singer best known for her work with the folk-rock band The Lumineers.
-
B.
Lauren Parsekian
Lauren Parsekian is an American director and activist best known for co-founding the anti-bullying organization Kind Campaign and for her marriage to actor Aaron Paul.
-
C.
Ariel Nicoli
Ariel Nicoli is one of the children of South African supermodel Candice Swanepoel.
-
D.
Alix Pahlavouni
Alix Pahlavouni was a noblewoman of the Armenian Kingdom of Cilicia and a member of the influential Pahlavuni family, known primarily as the queen consort and mother of King Hethum I.
-
E.
Kate Nauta
Kate Nauta is an American fashion model, actress, and singer best known for her role as the villainous Lola in the action film "Transporter 2."
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e7ee548190b4b18bdb1357c359 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d6016984819097c999772db1e831 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:58 p.m.