Triple

T16369873
Position Surface form Disambiguated ID Type / Status
Subject The Olive Tree E397536 entity
Predicate hasCharacter P2308 FINISHED
Object Rupert E74177 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: Rupert | Statement: [The Olive Tree, hasCharacter, Rupert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rupert
Context triple: [The Olive Tree, hasCharacter, Rupert]
  • A. Rupert chosen
    Rupert is a masculine given name of Germanic origin, commonly used in English-speaking countries and borne by various notable figures.
  • B. Rupert
    Rupert is a small town located in Greenbrier County in the state of West Virginia, United States.
  • C. Rupert
    Rupert is a small agricultural city in south-central Idaho known for its historic town square and role as a local farming hub.
  • D. Rupert Griffin
    Rupert Griffin is known primarily as the brother of American actress and 1950s film star Debra Paget.
  • E. Rupert George
    Rupert George was a British naval officer who commanded Royal Navy forces during the 1807 Siege of Montevideo in the Napoleonic Wars.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff414d808190beae2ff162e430f8 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc29f088190ba5d69ff3c12a251 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.