Triple

T8579486
Position Surface form Disambiguated ID Type / Status
Subject Catch That Rabbit E203131 entity
Predicate featuresRobot P69082 FINISHED
Object Dave E34737 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: Dave | Statement: [Catch That Rabbit, featuresRobot, Dave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dave
Context triple: [Catch That Rabbit, featuresRobot, Dave]
  • A. Dave chosen
    Dave is a common masculine given name, often a shortened form of David, used widely in English-speaking countries.
  • B. Danny
    Danny is the young, psychically gifted son of Jack Torrance in Stephen King’s horror novel "The Shining" and its film adaptations.
  • C. Danny
    Danny is a masculine given name, often used as a diminutive of Daniel.
  • D. Danny
    Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
  • E. Danny
    Danny is a supporting character in Woody Allen's 2013 drama film "Blue Jasmine," involved in the personal and emotional turmoil surrounding the protagonist's life.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea9a0708819084cb8b8d84017864 completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89a5d18c81908a21cf5e5944d6e1 completed April 2, 2026, 3:22 p.m.
Created at: March 30, 2026, 6:22 p.m.