Triple
T17106839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaxxon |
E415122
|
entity |
| Predicate | hasVariantSpellingOf |
P457
|
FINISHED |
| Object | Jackson |
E18159
|
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: Jackson | Statement: [Jaxxon, hasVariantSpellingOf, Jackson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jackson Context triple: [Jaxxon, hasVariantSpellingOf, Jackson]
-
A.
Jackson
chosen
Jackson is a common English surname borne by numerous notable figures across politics, science, sports, and the arts.
-
B.
Jackson
Jackson is a major Chicago 'L' station in the Loop that serves the CTA Red Line and connects with multiple other transit lines.
-
C.
Jackson
Jackson is the capital and largest city of Mississippi, known as a regional center for government, education, and culture in the American South.
-
D.
Jackson
"Jackson" is a classic country duet, famously performed by Johnny Cash and June Carter, about a fiery, deteriorating marriage and the lure of wild living in the town of Jackson.
-
E.
Jackson
Jackson is a fictional character from the film "The Winner," contributing to the movie’s central narrative and character dynamics.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2750b481908de18e8cb8f2195c |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a019540819083ce6100b24f8cfb |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:35 a.m.