Triple

T14412964
Position Surface form Disambiguated ID Type / Status
Subject Renny Harlin E357376 entity
Predicate givenName P17 FINISHED
Object Renny E159496 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: Renny | Statement: [Renny Harlin, givenName, Renny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renny
Context triple: [Renny Harlin, givenName, Renny]
  • A. Renny chosen
    Renny is a diminutive or short form of the given name René, often used as a familiar or affectionate variant.
  • B. Renny Renwick
    Renny Renwick is a fictional engineer and strongman, one of the core aides and adventuring companions of the pulp hero Doc Savage.
  • C. Retta
    Retta is an American actress and comedian best known for her roles on the television series "Parks and Recreation" and "Good Girls."
  • D. Robin Curtis
    Robin Curtis is an American actress best known to science fiction fans for playing the Vulcan officer Saavik in the Star Trek film series and related television appearances.
  • E. Lecy Goranson
    Lecy Goranson is an American actress best known for playing Becky Conner on the sitcom "Roseanne" and its revival.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552858208190ba1550e7c1176a2a completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.