Triple

T23214537
Position Surface form Disambiguated ID Type / Status
Subject Hank Marvin E580698 entity
Predicate familyName P18 FINISHED
Object Rankin NE NERFINISHED

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: Rankin | Statement: [Hank Marvin, familyName, Rankin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rankin
Context triple: [Hank Marvin, familyName, Rankin]
  • A. Rankin chosen
    Rankin is a surname of Scottish origin borne by various notable individuals across politics, law, the arts, and entertainment.
  • B. Rankin
    Rankin is a small borough in Allegheny County, Pennsylvania, located near Pittsburgh along the Monongahela River.
  • C. Selkirk
    Selkirk is a historic town in the Scottish Borders known for its legal heritage, including past judicial functions and associations with Scotland’s justice system.
  • D. Kincorth
    Kincorth is a residential area in the south of Aberdeen, Scotland, known for its post-war housing and proximity to the River Dee.
  • E. Westmark
    Westmark is a young adult fantasy novel by Lloyd Alexander that follows a printer’s apprentice caught up in political upheaval and revolution in a fictional European-style kingdom.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f19163b9b88190a68fa6d08d37bdb7 completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:07 p.m.