Triple

T12944916
Position Surface form Disambiguated ID Type / Status
Subject The Cabin E309735 entity
Predicate featuresCharacter P626 FINISHED
Object Pip E62711 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: Pip | Statement: [The Cabin, featuresCharacter, Pip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pip
Context triple: [The Cabin, featuresCharacter, Pip]
  • A. Pip chosen
    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. Francis Dickens
    Francis Dickens was a British-born Canadian police officer and son of novelist Charles Dickens, best known for his service as an officer in the North-West Mounted Police.
  • D. Pip Torrens
    Pip Torrens is a British actor known for his character roles in film and television, including appearances in series such as "Patrick Melrose," "The Crown," and "Preacher."
  • E. Mr. Bucket
    Mr. Bucket is Charlie Bucket’s hardworking but impoverished father in Roald Dahl’s novel "Charlie and the Chocolate Factory."
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1b3694819098527dcea3cfed93 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8d9669c819090471eb7e035d83d completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:43 p.m.