Triple

T2903741
Position Surface form Disambiguated ID Type / Status
Subject Pequod E62712 entity
Predicate hasCrewMember P42937 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: [Pequod, hasCrewMember, Pip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pip
Context triple: [Pequod, hasCrewMember, 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. 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.
  • C. 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."
  • D. Marley
    Marley is the surname of the legendary Jamaican reggae musician and cultural icon Bob Marley.
  • E. Kipps
    Kipps is a 1905 social novel by H. G. Wells that follows the rise of a humble draper’s apprentice after an unexpected inheritance, exploring class mobility and Edwardian society.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0b5546c8190852d9a454e41eee6 completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0560885688190b5bb51f40d555c4d completed March 10, 2026, 5:34 p.m.
Created at: March 6, 2026, 10:11 p.m.