Triple
T18242383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evangelina |
E436849
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object |
Evangelin
Evangelin is a feminine given name, often used as a variant or shortened form of Evangelina.
|
E1314038
|
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: Evangelin | Statement: [Evangelina, relatedName, Evangelin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evangelin Context triple: [Evangelina, relatedName, Evangelin]
-
A.
Evangel
Evangel is the nickname of Evangelical "Evangel" M. Lindbergh, likely a distinctive personal or professional moniker used to identify them.
-
B.
Evangelist
Evangelist is an honorific title traditionally given to Saint John as one of the four authors of the canonical Gospels in the New Testament.
-
C.
Evangelist
Evangelist is a guiding Christian figure in John Bunyan’s allegory "The Pilgrim’s Progress" who directs the protagonist Christian toward the path of salvation.
-
D.
Evangelismos
Evangelismos is a small settlement in the Tempi municipality of Greece, likely characterized by its rural setting and proximity to the scenic Tempi Valley.
-
E.
De Ecclesia
De Ecclesia is a seminal theological treatise by Jan Hus that challenges the authority and corruption of the medieval Church and helped lay intellectual groundwork for later church reform movements.
- 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: Evangelin Triple: [Evangelina, relatedName, Evangelin]
Generated description
Evangelin is a feminine given name, often used as a variant or shortened form of Evangelina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Evangelin Target entity description: Evangelin is a feminine given name, often used as a variant or shortened form of Evangelina.
-
A.
Evangel
Evangel is the nickname of Evangelical "Evangel" M. Lindbergh, likely a distinctive personal or professional moniker used to identify them.
-
B.
Evangelist
Evangelist is an honorific title traditionally given to Saint John as one of the four authors of the canonical Gospels in the New Testament.
-
C.
Evangelist
Evangelist is a guiding Christian figure in John Bunyan’s allegory "The Pilgrim’s Progress" who directs the protagonist Christian toward the path of salvation.
-
D.
Evangelismos
Evangelismos is a small settlement in the Tempi municipality of Greece, likely characterized by its rural setting and proximity to the scenic Tempi Valley.
-
E.
De Ecclesia
De Ecclesia is a seminal theological treatise by Jan Hus that challenges the authority and corruption of the medieval Church and helped lay intellectual groundwork for later church reform movements.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e387f481909d72574fb7d17923 |
completed | April 19, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03ac7124f88190bfc0064e00946586 |
completed | May 12, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_6a03ad3be75c819080f57a24747ec55f |
completed | May 12, 2026, 10:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03aede6ea481908bb9acdb2ff17e9a |
completed | May 12, 2026, 10:51 p.m. |
Created at: April 10, 2026, 10:33 a.m.