Triple

T17901674
Position Surface form Disambiguated ID Type / Status
Subject Jerry Sohl E447594 entity
Predicate givenName P17 FINISHED
Object Gerald 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: Gerald | Statement: [Jerry Sohl, givenName, Gerald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerald
Context triple: [Jerry Sohl, givenName, Gerald]
  • A. Gerald
    Gerald is a central character in the British comedy film "The Full Monty," portrayed as a former factory foreman who joins a group of unemployed men planning a striptease act to make ends meet.
  • B. Gerald
    Gerald is the birth name of Jerry Brown, the longtime Democratic politician and former governor of California.
  • C. Gerald chosen
    Gerald is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • D. Gerald
    Gerald is the middle name of Stephen G. Breyer, a former Associate Justice of the United States Supreme Court.
  • E. Gerry
    Gerry is a minimalist 2002 drama film directed by Gus Van Sant, starring Matt Damon and Casey Affleck as two friends lost in the desert.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e98fb688190815ac308e5ed7fde completed April 19, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:19 a.m.