Triple

T15599210
Position Surface form Disambiguated ID Type / Status
Subject Audrey Geisel E374986 entity
Predicate familyName P18 FINISHED
Object Geisel E121238 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: Geisel | Statement: [Audrey Geisel, familyName, Geisel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geisel
Context triple: [Audrey Geisel, familyName, Geisel]
  • A. J. S. Newberry
    J. S. Newberry was a 19th-century American physician and geologist who played a prominent organizational role in Union medical and sanitary efforts during the Civil War.
  • B. Caro-Seuss-el
    Caro-Seuss-el is a whimsical, Dr. Seuss–themed carousel attraction located in the Seuss Landing area of Universal's Islands of Adventure theme park.
  • C. M.G. Siegler
    M.G. Siegler is a technology writer and venture capitalist known for his work at TechCrunch and his investing role at Google Ventures (GV).
  • D. Dr. Seuss chosen
    Dr. Seuss was an American children’s author and illustrator renowned for his whimsical rhyming stories and imaginative characters in books such as "The Cat in the Hat" and "Green Eggs and Ham."
  • E. John Strong Newberry
    John Strong Newberry was a 19th-century American geologist and explorer known for his pioneering geological surveys of the American West.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e609ab081909feb486a57439960 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56ccc40c8190a3b1339404e6897f completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.