Triple

T4047148
Position Surface form Disambiguated ID Type / Status
Subject Laura Hawkins E84092 entity
Predicate placeOfResidence P75 FINISHED
Object Hannibal, Missouri E70538 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: Hannibal, Missouri | Statement: [Laura Hawkins, placeOfResidence, Hannibal, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hannibal, Missouri
Context triple: [Laura Hawkins, placeOfResidence, Hannibal, Missouri]
  • A. Hannibal, Missouri chosen
    Hannibal, Missouri is a historic Mississippi River town best known as Mark Twain’s boyhood home and the inspiration for the settings of "The Adventures of Tom Sawyer" and "Adventures of Huckleberry Finn."
  • B. Napoleon, Missouri
    Napoleon, Missouri is a small town situated along the Missouri River in Lafayette County in the U.S. state of Missouri.
  • C. Sibley, Missouri
    Sibley, Missouri is a small village in western Missouri known for its proximity to the historic Fort Osage site along the Missouri River.
  • D. Holt, Missouri
    Holt, Missouri is a small rural village located in Clinton County in the U.S. state of Missouri.
  • E. Wellington, Missouri
    Wellington, Missouri is a small city situated along the Missouri River in Lafayette County, known for its rural character and historic Midwestern setting.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb62593c8190ab8462c4d9cd9d08 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10079a408190ae09d3df55ead73c completed March 21, 2026, 3:27 a.m.
Created at: March 9, 2026, 3:37 p.m.