Triple

T8309960
Position Surface form Disambiguated ID Type / Status
Subject George William C. Whiting E194565 entity
Predicate hasFamilyName P18 FINISHED
Object Whiting E582484 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: Whiting | Statement: [George William C. Whiting, hasFamilyName, Whiting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whiting
Context triple: [George William C. Whiting, hasFamilyName, Whiting]
  • A. Whiting chosen
    Whiting is a party involved in the U.S. Supreme Court case Chamber of Commerce v. Whiting, which addressed state authority over immigration-related employment regulations.
  • B. Spearfish
    Spearfish is a small city in western South Dakota known as a gateway to the scenic Black Hills region and nearby Spearfish Canyon.
  • C. Pike
    Pike is an English surname of Old English origin, often associated with people who lived near a pointed hill or carried a pike as a weapon.
  • D. Creel
    Creel is a small mountain town in Mexico’s Sierra Tarahumara that serves as a popular gateway for tourists exploring the Copper Canyon region.
  • E. Faison
    Faison is a surname most notably associated with American actor and comedian Donald Faison.
  • 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_69cb7f2d2c30819095075940479b75a7 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.