Triple

T8309033
Position Surface form Disambiguated ID Type / Status
Subject Jackson Avery E194541 entity
Predicate givenName P17 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: [Jackson Avery, givenName, Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jackson
Context triple: [Jackson Avery, givenName, 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 a city in Michigan that serves as the home of Cascades Falls Park, a popular local landmark known for its illuminated, man-made waterfalls.
  • 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 the naive but determined protagonist of Chester Himes’s crime novel *A Rage in Harlem*, whose misadventures drive the story’s darkly comic plot.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2c06608190bd21633af07a530b completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95665390819089c8becad018cf51 completed April 1, 2026, 10 p.m.
Created at: March 30, 2026, 5:54 p.m.