Triple

T15781417
Position Surface form Disambiguated ID Type / Status
Subject James Groves E382624 entity
Predicate hasSurname P18 FINISHED
Object Groves E73431 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: Groves | Statement: [James Groves, hasSurname, Groves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groves
Context triple: [James Groves, hasSurname, Groves]
  • A. Groves chosen
    Groves is a surname most notably associated with U.S. Army General Leslie R. Groves Jr., who directed the Manhattan Project during World War II.
  • B. Monrow
    Monrow is an alternative spelling of the name Monroe, which is commonly used as both a surname and given name and is associated with various notable people and places.
  • C. Colegrove
    Colegrove is the named petitioner in the U.S. Supreme Court case Colegrove v. Green, which addressed issues of legislative apportionment and political representation.
  • D. Firgrove
    Firgrove is a suburban area forming part of the town of Milnrow in Greater Manchester, England.
  • E. Eagle Rock
    Eagle Rock is a prominent sandstone outcrop and popular hiking destination within the Santa Monica Mountains of Southern California.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05400716881909bc43212c8ea54d5 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a2476c8190a153fb47cb4e7708 completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.