Triple

T21572006
Position Surface form Disambiguated ID Type / Status
Subject The Newcomes E532305 entity
Predicate relatedWork P37 FINISHED
Object Pendennis 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: Pendennis | Statement: [The Newcomes, relatedWork, Pendennis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pendennis
Context triple: [The Newcomes, relatedWork, Pendennis]
  • A. Pendennis chosen
    Pendennis is a Victorian novel by William Makepeace Thackeray that follows the coming-of-age and social adventures of the young gentleman Arthur Pendennis in 19th-century England.
  • B. Middle Pier
    Middle Pier is a central pier structure within Granton Harbour in Edinburgh, historically used for maritime and industrial activities.
  • C. The Midshipman
    "The Midshipman" is a 1925 silent romantic drama film set at the United States Naval Academy, notable for its blend of military pageantry and youthful romance.
  • D. The Gallant Pelham
    The Gallant Pelham was a famed young Confederate artillery officer in the American Civil War, celebrated for his daring battlefield leadership and personal bravery.
  • E. La Bretonnière
    La Bretonnière is a watercourse running through the commune of Villebon-sur-Yvette in the Essonne department of northern France.
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9cd50188190b44eb25fb87312bb completed April 27, 2026, 4:45 a.m.
Created at: April 16, 2026, 6:30 p.m.