Triple

T110967
Position Surface form Disambiguated ID Type / Status
Subject Harry Fielding Reid E2246 entity
Predicate givenName P17 FINISHED
Object Harry E487 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: Harry | Statement: [Harry Fielding Reid, givenName, Harry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry
Context triple: [Harry Fielding Reid, givenName, Harry]
  • A. Harry chosen
    Harry is the given name of Harry S. Truman, the 33rd president of the United States who led the country through the end of World War II and the beginning of the Cold War.
  • B. Robert
    Robert is a common masculine given name of Germanic origin, widely used in English-speaking countries.
  • C. Henry
    Henry is the given name of Henry A. Kissinger, the influential American diplomat and political scientist who served as U.S. Secretary of State and National Security Advisor.
  • D. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • E. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a256ec650c8190bee2067e37065527 completed Feb. 28, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c52b004c8190a74c495d3213973d completed Feb. 28, 2026, 10:36 a.m.
Created at: Feb. 28, 2026, 2:20 a.m.