Triple

T690759
Position Surface form Disambiguated ID Type / Status
Subject Bertram E13385 entity
Predicate variantForm P4680 FINISHED
Object Bertramus
Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
E95078 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: Bertramus | Statement: [Bertram, variantForm, Bertramus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bertramus
Context triple: [Bertram, variantForm, Bertramus]
  • A. Thaddaeus
    Thaddaeus is a disciple of Jesus traditionally counted among the Twelve Apostles in Christian tradition, often identified with Jude the Apostle.
  • B. Bertrando
    Bertrando is an Italian given name and surname, historically borne by several notable figures including nobles and churchmen.
  • C. Mordaunt
    Mordaunt is a vengeful and fanatical antagonist in Alexandre Dumas’ d'Artagnan romances, known as the ruthless son of Milady de Winter who seeks to destroy the musketeers.
  • D. Adelbert
    Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
  • E. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • 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: Bertramus
Triple: [Bertram, variantForm, Bertramus]
Generated description
Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bertramus
Target entity description: Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
  • A. Thaddaeus
    Thaddaeus is a disciple of Jesus traditionally counted among the Twelve Apostles in Christian tradition, often identified with Jude the Apostle.
  • B. Bertrando
    Bertrando is an Italian given name and surname, historically borne by several notable figures including nobles and churchmen.
  • C. Mordaunt
    Mordaunt is a vengeful and fanatical antagonist in Alexandre Dumas’ d'Artagnan romances, known as the ruthless son of Milady de Winter who seeks to destroy the musketeers.
  • D. Adelbert
    Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
  • E. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0ad379c81909003d35c63822780 completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a68918e87c819085df25ee862ba836 completed March 3, 2026, 7:09 a.m.
NEDg Description generation batch_69a68d097d088190aa19d2857c6419c2 completed March 3, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_69a6ce6e692081908a49b12729f59a84 completed March 3, 2026, 12:05 p.m.
Created at: March 1, 2026, 7:36 p.m.