Triple

T1245157
Position Surface form Disambiguated ID Type / Status
Subject Roberto E26746 entity
Predicate hasVariantForm P457 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: [Roberto, hasVariantForm, Rupert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rupert
Context triple: [Roberto, hasVariantForm, 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. Reginald
    Reginald is a masculine given name of English origin that has been borne by various notable figures, including military officers, politicians, and artists.
  • C. Griffin
    The Griffin is the mythical creature that serves as the official mascot and symbol of Reed College.
  • D. Griffin
    Griffin is a city in Spalding County, Georgia, known as part of the Atlanta metropolitan area and for its historic downtown and role as a regional commercial center.
  • E. Griffin
    The Griffin is the mythical lion-eagle creature that serves as the official mascot of the College of William & Mary, symbolizing the school’s blend of strength, wisdom, and historical heritage.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf6498948190b30b09d845d67ac4 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbadec0808190a3b43e757e1ddeae completed March 7, 2026, 11:55 p.m.
Created at: March 1, 2026, 7:47 p.m.