Triple

T8295964
Position Surface form Disambiguated ID Type / Status
Subject Marina Wheeler E194217 entity
Predicate familyName P18 FINISHED
Object Wheeler E9061 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: Wheeler | Statement: [Marina Wheeler, familyName, Wheeler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wheeler
Context triple: [Marina Wheeler, familyName, Wheeler]
  • A. Wheeler chosen
    Wheeler is a surname most prominently associated in this context with Ted Wheeler, the American politician and mayor of Portland, Oregon.
  • B. Battery Wheeler
    Battery Wheeler is a coastal artillery battery that formed part of the defensive fortifications at Fort Mills on Corregidor Island in the Philippines.
  • C. Wyle
    Wyle is the surname of American actor Noah Wyle, best known for his role as Dr. John Carter on the television series "ER."
  • D. Oberholtzer
    Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
  • E. Chesley
    Chesley is a small rural community in Bruce County, Ontario, Canada, known for its agricultural surroundings and local manufacturing history.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7df73d4c81909ad9cf0786eb5a20 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68a3258481908fe04fed1d00c9ba completed April 1, 2026, 6:49 p.m.
Created at: March 30, 2026, 5:53 p.m.