Triple
T19800519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denise Jackson |
E475659
|
entity |
| Predicate | hasFamilyName |
P18
|
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: [Denise Jackson, hasFamilyName, Jackson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jackson Context triple: [Denise Jackson, hasFamilyName, 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 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.
-
C.
Jackson
Jackson is a historic Gold Rush-era town in California’s Sierra Nevada foothills, known for its mining heritage and role in the development of the Mother Lode region.
-
D.
Jackson
Jackson is a major Chicago 'L' station in the Loop that serves the CTA Red Line and connects with multiple other transit lines.
-
E.
Jackson
Jackson is a fictional character who works as an operative within the CIA's Domestic Branch.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653cb865c81909696d2b37476f62f |
completed | April 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c5024930819091501e17f97614e2 |
completed | May 16, 2026, 1:14 a.m. |
Created at: April 10, 2026, 1:49 p.m.