Triple
T15561616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordyn Wieber |
E371013
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jordyn |
E855409
|
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: Jordyn | Statement: [Jordyn Wieber, givenName, Jordyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jordyn Context triple: [Jordyn Wieber, givenName, Jordyn]
-
A.
Jordyn
chosen
Jordyn is a given name, typically used as a modern spelling variant of the name Jordan.
-
B.
Jordana
Jordana is a feminine given name most notably borne by American actress Jordana Brewster, known for her role in the "Fast & Furious" film franchise.
-
C.
Jazmyn
Jazmyn is a feminine given name, often considered a modern or variant spelling of Jasmine.
-
D.
Skylar
Skylar is a compassionate and intelligent Harvard student who becomes Will Hunting’s love interest in the film "Good Will Hunting."
-
E.
Skylar
Skylar is a magical flying creature from the animated series "Elena of Avalor," serving as one of Princess Elena’s loyal and adventurous companions.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddb4c0c81909b3f4c75c91f7f3f |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456821988190971539b683f6c656 |
completed | May 9, 2026, 2:32 p.m. |
Created at: April 10, 2026, 4:09 a.m.