Triple

T1443519
Position Surface form Disambiguated ID Type / Status
Subject Harold Rupert Leofric George Alexander E31126 entity
Predicate givenName P17 FINISHED
Object Harold E9958 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: Harold | Statement: [Harold Rupert Leofric George Alexander, givenName, Harold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harold
Context triple: [Harold Rupert Leofric George Alexander, givenName, Harold]
  • A. Harold chosen
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • B. Gerald
    Gerald is the birth name of Jerry Brown, the longtime Democratic politician and former governor of California.
  • C. Reginald
    Reginald is a masculine given name of English origin that has been borne by various notable figures, including military officers, politicians, and artists.
  • D. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • E. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c533a158819084d0917776edb6e5 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad2328670c819087a2d8b047b67ee8 completed March 8, 2026, 7:20 a.m.
Created at: March 1, 2026, 8 p.m.