Triple

T15500950
Position Surface form Disambiguated ID Type / Status
Subject Little, Brown Book Group E378949 entity
Predicate imprint P2763 FINISHED
Object Constable E619784 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: Constable | Statement: [Little, Brown Book Group, imprint, Constable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Constable
Context triple: [Little, Brown Book Group, imprint, Constable]
  • A. Constable
    Constable is the entry-level sworn police rank in New Zealand, responsible for frontline law enforcement and community policing duties.
  • B. Constable chosen
    Constable was a prominent British publishing house known for issuing major literary works in the 18th and 19th centuries.
  • C. Constable Lee
    Constable Lee is a small settlement in the Rossendale borough of Lancashire, England.
  • D. Constable Kockenlocker
    Constable Kockenlocker is a bumbling yet well-meaning small-town lawman and overprotective father in Preston Sturges’s screwball comedy film "The Miracle of Morgan’s Creek."
  • E. Constable of England
    The Constable of England was a great officer of state in medieval England responsible for commanding the royal armies and overseeing matters of chivalry, military discipline, and the king’s stables.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcb4e8c81908e4ab463e3ae252b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3669f908819087162b1b8a4e4320 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:54 a.m.