Triple

T2095366
Position Surface form Disambiguated ID Type / Status
Subject Robert Armstrong (Texas politician) E32767 entity
Predicate hasGivenName P17 FINISHED
Object Robert E2918 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: Robert | Statement: [Robert Armstrong (Texas politician), hasGivenName, Robert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert
Context triple: [Robert Armstrong (Texas politician), hasGivenName, Robert]
  • A. Robert chosen
    Robert is a common masculine given name of Germanic origin, widely used in English-speaking countries.
  • B. Roy
    Roy is a common masculine given name of Celtic origin, often used independently or as a nickname for longer names.
  • C. Thomas
    Thomas is the given name of Thomas Malthus, the influential English economist and demographer known for his theories on population growth and resource limits.
  • D. Thomas
    Thomas is the given name of Confederate General "Stonewall" Jackson, a prominent military leader during the American Civil War.
  • E. Thomas
    Thomas is the full given name of Tom Brady, the legendary NFL quarterback widely regarded as one of the greatest players in American football history.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba99ddc48190bb2097b56efb7aca completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d8928048190ab9ef79dde8ad4e0 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:43 p.m.