Triple

T7138162
Position Surface form Disambiguated ID Type / Status
Subject Jack Trent E166363 entity
Predicate appearsInWork P795 FINISHED
Object The Island of Adventure E166358 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: The Island of Adventure | Statement: [Jack Trent, appearsInWork, The Island of Adventure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Island of Adventure
Context triple: [Jack Trent, appearsInWork, The Island of Adventure]
  • A. The Island of Adventure chosen
    The Island of Adventure is a children's adventure novel by Enid Blyton that follows a group of children uncovering mysteries and dangers on a remote, rugged island.
  • B. Islands of Adventure
    Islands of Adventure is a Universal Orlando theme park known for its immersive, thrill-focused lands based on popular franchises like Marvel, Jurassic Park, and Harry Potter.
  • C. Adventure Land
    Adventure Land is a themed area within Europa-Park that immerses visitors in adventurous, exploration-inspired settings and attractions.
  • D. Adventureland
    Adventureland is a themed land found in several Disney parks, designed to evoke exotic, tropical locales through attractions, lush landscaping, and immersive storytelling.
  • E. Adventureland
    Adventureland is a 2009 coming-of-age comedy-drama film set in a 1980s amusement park, known for its blend of humor and bittersweet romance.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e6939b788190929e92ff481f2ee4 completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf7f02388190bee6fee6ab341cf5 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:45 p.m.