Triple

T18069330
Position Surface form Disambiguated ID Type / Status
Subject William Weiss E432380 entity
Predicate isAmbiguousWith P2289 FINISHED
Object William Weiss (politician) NE NERFINISHED

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 Weiss (politician) | Statement: [William Weiss, isAmbiguousWith, William Weiss (politician)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Weiss (politician)
Context triple: [William Weiss, isAmbiguousWith, William Weiss (politician)]
  • A. John Weiss
    John Weiss is a relatively obscure individual whose specific notability is not clearly established from the given information.
  • B. William Weiss chosen
    William Weiss is a personal name shared by multiple individuals, including various professionals and public figures across different fields.
  • C. Robert Weiss
    Robert Weiss is a relatively common personal name shared by multiple individuals across various professions, including the arts, sciences, and public life.
  • D. Weissman
    Weissman is a surname most prominently associated with Drew Weissman, the Nobel Prize–winning physician-scientist whose work on mRNA technology enabled the development of COVID-19 vaccines.
  • E. Robert K. Weiss
    Robert K. Weiss is an American film and television producer best known for his work on comedy projects such as "The Naked Gun" series and collaborations with the Zucker brothers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccebff748190b41d2edd93994c67 completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.