Triple

T5673474
Position Surface form Disambiguated ID Type / Status
Subject Seven Pillars of Wisdom E125029 entity
Predicate hasIllustrationBy P2761 FINISHED
Object William Roberts E321378 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: William Roberts | Statement: [Seven Pillars of Wisdom, hasIllustrationBy, William Roberts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Roberts
Context triple: [Seven Pillars of Wisdom, hasIllustrationBy, William Roberts]
  • A. William Roberts
    William Roberts was an American screenwriter best known for writing the screenplay for the classic Western film "The Magnificent Seven" (1960).
  • B. William Roberts chosen
    William Roberts was a British painter associated with the Vorticist movement, known for his modernist depictions of urban life and wartime scenes.
  • C. William Roberts II
    William Roberts II, better known as Rick Ross, is an American rapper and songwriter who has contributed writing to tracks such as Kanye West’s "Monster."
  • D. Randolph Roberts
    Randolph Roberts is an American actor best known for playing Chuck Cunningham on the television series "Happy Days."
  • E. Tony Roberts
    Tony Roberts is an American actor best known for his frequent collaborations with Woody Allen in films such as "Annie Hall."
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023700ba88190ba7c829785f20c82 completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c107bf6994819089e1211ffe343094 completed March 23, 2026, 9:28 a.m.
Created at: March 22, 2026, 3:43 p.m.