Triple

T15716420
Position Surface form Disambiguated ID Type / Status
Subject Dr. Mary Lou LaRue E380971 entity
Predicate creator P184 FINISHED
Object Dr. Seuss 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: Dr. Seuss | Statement: [Dr. Mary Lou LaRue, creator, Dr. Seuss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. Seuss
Context triple: [Dr. Mary Lou LaRue, creator, Dr. Seuss]
  • A. 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."
  • 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. Shel Silverstein
    Shel Silverstein was an American poet, cartoonist, songwriter, and children’s author best known for his whimsical, poignant books like "The Giving Tree" and "Where the Sidewalk Ends."
  • D. Norton Juster
    Norton Juster was an American architect and author best known for his classic children's fantasy novel "The Phantom Tollbooth."
  • E. Eric Carle
    Eric Carle was an American author and illustrator best known for his distinctive collage-style artwork and beloved children's books such as "The Very Hungry Caterpillar."
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f91beb08190bd91bf9306737c3b completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff997fe6f48190813bde2bfc11c253 completed May 9, 2026, 8:30 p.m.
Created at: April 10, 2026, 4:45 a.m.