Triple

T1238020
Position Surface form Disambiguated ID Type / Status
Subject Protoevangelium of James E26591 entity
Predicate introducesCharacter P12208 FINISHED
Object Anne
Anne is traditionally revered in Christian tradition as the mother of the Virgin Mary and the grandmother of Jesus.
 E174934 NE FINISHED

How this triple was built (4 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: Anne | Statement: [Protoevangelium of James, introducesCharacter, Anne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anne
Context triple: [Protoevangelium of James, introducesCharacter, Anne]
  • A. Anne
    Anne is the given name of Anne Morrow Lindbergh, the American author and aviator who was married to famed aviator Charles Lindbergh.
  • B. Kate
    Kate is a common diminutive form of the given name Catherine, frequently used in English-speaking countries.
  • C. Kate
    Kate is the Allied reporting name for the Nakajima B5N, a Japanese World War II carrier-based torpedo bomber aircraft.
  • D. Elisabeth
    Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
  • E. Sarah
    Sarah is a key matriarch in the Hebrew Bible, revered as the wife of Abraham and mother of Isaac in the Jewish, Christian, and Islamic traditions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anne
Triple: [Protoevangelium of James, introducesCharacter, Anne]
Generated description
Anne is traditionally revered in Christian tradition as the mother of the Virgin Mary and the grandmother of Jesus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anne
Target entity description: Anne is traditionally revered in Christian tradition as the mother of the Virgin Mary and the grandmother of Jesus.
  • A. Anne
    Anne is the given name of Anne Morrow Lindbergh, the American author and aviator who was married to famed aviator Charles Lindbergh.
  • B. Kate
    Kate is a common diminutive form of the given name Catherine, frequently used in English-speaking countries.
  • C. Kate
    Kate is the Allied reporting name for the Nakajima B5N, a Japanese World War II carrier-based torpedo bomber aircraft.
  • D. Elisabeth
    Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
  • E. Sarah
    Sarah is a key matriarch in the Hebrew Bible, revered as the wife of Abraham and mother of Isaac in the Jewish, Christian, and Islamic traditions.
  • F. None of above. chosen

Provenance (5 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf406b988190a12aa26bbcb88d6a completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad293872cc8190894581cff289627e completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad2cfb8c4c8190b47406be414850ab completed March 8, 2026, 8:02 a.m.
NED2 Entity disambiguation (via description) batch_69ad2ded1d548190b0c51c460a751017 completed March 8, 2026, 8:06 a.m.
Created at: March 1, 2026, 7:47 p.m.