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.