Triple

T3701246
Position Surface form Disambiguated ID Type / Status
Subject Lydia Beals Jackson Beecher E78582 entity
Predicate familyName 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: [Lydia Beals Jackson Beecher, familyName, Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jackson
Context triple: [Lydia Beals Jackson Beecher, familyName, 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 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.
  • E. Knox
    Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc547c1848190a1ece46c59b7c43d completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdf1b16081909b18af630d0b4817 completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:26 p.m.