Triple

T6427314
Position Surface form Disambiguated ID Type / Status
Subject Green Eggs and Ham E128091 entity
Predicate writer P1360 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: [Green Eggs and Ham, writer, Dr. Seuss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. Seuss
Context triple: [Green Eggs and Ham, writer, 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06920cef48190a884df8f12987a0d completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bbc865c81909bf064b9253bc263 completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:44 p.m.