Triple

T13819907
Position Surface form Disambiguated ID Type / Status
Subject Order of the Eastern Star E332107 entity
Predicate hasOffice P1268 FINISHED
Object Martha E49016 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: Martha | Statement: [Order of the Eastern Star, hasOffice, Martha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha
Context triple: [Order of the Eastern Star, hasOffice, Martha]
  • A. Martha chosen
    Martha is a feminine given name of Aramaic origin, historically borne by notable figures such as Martha Washington, the first First Lady of the United States.
  • B. Martha Black
    Martha Black was a pioneering Canadian politician and naturalist, known as one of the first women elected to the Canadian Parliament and for her influential role in Yukon public life.
  • C. Bertha
    Bertha is a feminine given name of Germanic origin, historically associated with meanings like "bright" or "famous."
  • D. Bertha
    "Bertha" is a popular live staple and fan-favorite rock song by the Grateful Dead, first released on their 1971 self-titled live album (often called "Skull and Roses").
  • E. Bertha
    Bertha was a daughter of Charlemagne, the Frankish king and emperor who united much of Western Europe during the early Middle Ages.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0282d4d08190b754cda7683408c4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e41f448190baabfd06d78b45b7 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.