Triple

T3489998
Position Surface form Disambiguated ID Type / Status
Subject Nina Gabrilowitsch E73702 entity
Predicate relative P37 FINISHED
Object Jean Clemens E17710 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: Jean Clemens | Statement: [Nina Gabrilowitsch, relative, Jean Clemens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Clemens
Context triple: [Nina Gabrilowitsch, relative, Jean Clemens]
  • A. Jean Clemens chosen
    Jean Clemens was the youngest daughter of American author Mark Twain, remembered for her struggles with epilepsy and her close yet often tragic relationship with her father.
  • B. Henry Clemens
    Henry Clemens was the younger brother of American author Mark Twain (Samuel Clemens), whose early death deeply affected Twain’s life and writings.
  • C. Benjamin Clemens
    Benjamin Clemens was a relative of the famed American author Mark Twain (Samuel Clemens), belonging to his extended Clemens family.
  • D. Benjamin Garver Lamme
    Benjamin Garver Lamme was an American electrical engineer and long-time Westinghouse chief engineer known for his pioneering work in alternating current machinery and power systems.
  • E. George Hildebrand
    George Hildebrand was an American Major League Baseball umpire active in the early 20th century.
  • 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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbb94190c8190a81eb41042e51a00 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373bb0e00819087899a394f50295d completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.