Triple

T5420673
Position Surface form Disambiguated ID Type / Status
Subject The Cat in the Hat E121239 entity
Predicate featuresCharacter P626 FINISHED
Object Thing 2 E123910 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: Thing 2 | Statement: [The Cat in the Hat, featuresCharacter, Thing 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thing 2
Context triple: [The Cat in the Hat, featuresCharacter, Thing 2]
  • A. Thing 2 chosen
    Thing 2 is a mischievous, blue-haired character from Dr. Seuss's "The Cat in the Hat," known for causing playful chaos alongside Thing 1.
  • B. Thing 1
    Thing 1 is a mischievous, energetic character from Dr. Seuss's "The Cat in the Hat," known for causing playful chaos alongside Thing 2.
  • C. The Toy
    The Toy is a 1982 comedy film starring Richard Pryor as a man hired by a wealthy businessman to be a spoiled rich child's "live" plaything, exploring themes of race, class, and exploitation through slapstick humor.
  • D. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • E. The Third Twin
    The Third Twin is a techno-thriller novel by Ken Follett that centers on genetic engineering, secret experiments, and a deadly conspiracy uncovered through DNA research.
  • 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_69bd463b58d88190b258261573de9e91 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87eac41481908a4982db5d119edd completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3ab4d32c8190958daefa8061a7f9 completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:06 p.m.