Triple

T8505888
Position Surface form Disambiguated ID Type / Status
Subject Alice’s Adventures in Wonderland E201330 entity
Predicate featuresCharacter P626 FINISHED
Object Caterpillar E285260 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: Caterpillar | Statement: [Alice’s Adventures in Wonderland, featuresCharacter, Caterpillar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caterpillar
Context triple: [Alice’s Adventures in Wonderland, featuresCharacter, Caterpillar]
  • A. Caterpillar chosen
    The Caterpillar is a wise, enigmatic blue insect who serves as a cryptic advisor to Alice in Tim Burton’s 2010 fantasy film "Alice in Wonderland."
  • B. Caterpillar
    Caterpillar is a leading American manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and locomotives.
  • C. Toro
    Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
  • D. Toro
    Toro is the traditional nickname of Torino F.C., a historic Italian football club based in Turin.
  • E. Toro
    Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
  • 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_69ca831fe47c8190b5c57b456d2aefa0 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5db51e4819098dde316e87e8b0d completed March 31, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e3037e4819090677c7dc607e8f2 completed April 2, 2026, 11:08 a.m.
Created at: March 30, 2026, 6:14 p.m.