Triple

T14402839
Position Surface form Disambiguated ID Type / Status
Subject Charles Nordhoff E357112 entity
Predicate placeOfDeath P21 FINISHED
Object Tahiti E33279 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: Tahiti | Statement: [Charles Nordhoff, placeOfDeath, Tahiti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tahiti
Context triple: [Charles Nordhoff, placeOfDeath, Tahiti]
  • A. Tahiti chosen
    Tahiti is the largest island in French Polynesia, renowned for its volcanic mountains, lush rainforests, and world-famous surfing beaches in the South Pacific.
  • B. Ouvéa Island
    Ouvéa Island is a remote atoll in New Caledonia’s Loyalty Islands, noted for its white-sand beaches, turquoise lagoon, and indigenous Kanak communities.
  • C. Tahiti Nui
    Tahiti Nui is the larger, northwestern part of the island of Tahiti in French Polynesia, known for its volcanic mountains, lush landscapes, and role as the main population and economic center of the territory.
  • D. Bora Bora
    Bora Bora is a small South Pacific island renowned for its turquoise lagoon, overwater bungalows, and status as a premier luxury travel destination.
  • E. Lefou
    Lefou is the bumbling yet loyal sidekick to the villainous Gaston in Disney's live-action adaptation of "Beauty and the Beast" (2017).
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90860ae481908e175decda8624d5 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5520c07c8190bfdaf224dd779ced completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.