Triple

T22974989
Position Surface form Disambiguated ID Type / Status
Subject Erastus Corning E571290 entity
Predicate familyName P18 FINISHED
Object Corning 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: Corning | Statement: [Erastus Corning, familyName, Corning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corning
Context triple: [Erastus Corning, familyName, Corning]
  • A. Corning
    Corning is a small city in Tehama County, California, known historically for its olive production and agricultural economy.
  • B. Corning chosen
    Corning is a small city in New York State best known as the longtime home of Corning Incorporated and its historic glassmaking and museum.
  • C. Corning Incorporated
    Corning Incorporated is a leading American technology company best known for its innovations in specialty glass, ceramics, and advanced materials used in consumer electronics, telecommunications, and scientific applications.
  • D. Libbey Glass
    Libbey Glass is a prominent American glassware manufacturer known for producing a wide range of tableware and drinkware products for both consumer and commercial markets.
  • E. Pilkington glass company
    Pilkington glass company is a major British glass manufacturer renowned for pioneering the float glass process and supplying glass products worldwide.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18235de508190ab9675d005870ff6 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.