Triple
T9601173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaren Jackson Jr. |
E231853
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jaren |
E599685
|
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: Jaren | Statement: [Jaren Jackson Jr., givenName, Jaren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaren Context triple: [Jaren Jackson Jr., givenName, Jaren]
-
A.
Jaren
chosen
Jaren is a village and transport hub in Gran municipality in Innlandet county, Norway, serving as a stop on the rail line north of Oslo.
-
B.
Jahren
Jahren is a surname most notably associated with Hope Jahren, an American geochemist, geobiologist, and author known for her work on plant science and her memoir "Lab Girl."
-
C.
Yillah
Yillah is a mysterious, ethereal woman who serves as a symbolic and spiritual figure in Herman Melville’s novel "Mardi."
-
D.
Yearby
Yearby is a small village in the borough of Redcar and Cleveland in North Yorkshire, England.
-
E.
Joner
"Joner" is a poetry collection by Swedish poet Katarina Frostenson, known for its dense, experimental language and exploration of identity and perception.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a3a49608190ad1f65195e4d5cda |
completed | April 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d161a993c48190974bc787fafbe793 |
completed | April 4, 2026, 7:08 p.m. |
Created at: March 30, 2026, 8:07 p.m.