Triple

T21600068
Position Surface form Disambiguated ID Type / Status
Subject Andalasia E533011 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Pip NE NERFINISHED

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: Pip | Statement: [Andalasia, associatedWithCharacter, Pip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pip
Context triple: [Andalasia, associatedWithCharacter, Pip]
  • A. Pip
    Pip is a young Black cabin boy aboard the Pequod in Herman Melville’s novel "Moby-Dick," whose traumatic experience at sea leads to a profound, prophetic madness.
  • B. Pip
    Pip is the orphaned protagonist and narrator of Charles Dickens's novel "Great Expectations," whose life traces a journey from humble beginnings to social ambition and moral self-discovery.
  • C. Pip chosen
    Pip is a young, adventurous mouse from the animated film "Barnyard," known for his quick wit and loyal friendship with the barnyard animals.
  • D. Pip
    Pip is one of the fictional alter-ego personas created by musician Tori Amos for her 2007 concept album "American Doll Posse," embodying a bold, confrontational, and politically charged character.
  • E. Pip Tyler
    Pip Tyler is the troubled, idealistic young woman who serves as the central protagonist of Jonathan Franzen’s novel "Purity."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e12fdc8190ab6125ea8d294717 completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:32 p.m.