Triple
T14812032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress of Rome |
E348203
|
entity |
| Predicate | relatedConcept |
P37
|
FINISHED |
| Object |
Augusta (title)
Augusta was an honorific title used in the Roman Empire to designate empresses and other imperial women of high status and prestige.
|
E1120037
|
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: Augusta (title) | Statement: [Empress of Rome, relatedConcept, Augusta (title)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Augusta (title) Context triple: [Empress of Rome, relatedConcept, Augusta (title)]
-
A.
Augusta of Cambridge
Augusta of Cambridge was a 19th-century British princess, granddaughter of King George III, who became Grand Duchess of Mecklenburg-Strelitz through marriage.
-
B.
Reginae
Reginae is an American television personality and singer best known as the daughter of rapper Lil Wayne and reality star Toya Johnson.
-
C.
Most Serene Highness
Most Serene Highness is a formal honorific style historically used for certain high-ranking sovereigns and princes in European monarchies.
-
D.
Empress
Empress is a science fiction comic book series written by Mark Millar that follows a queen fleeing a tyrannical galactic emperor with her children across the universe.
-
E.
Empress
Empress was the radio callsign used by Canadian Pacific Air Lines for its commercial flight operations.
- 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: Augusta (title) Triple: [Empress of Rome, relatedConcept, Augusta (title)]
Generated description
Augusta was an honorific title used in the Roman Empire to designate empresses and other imperial women of high status and prestige.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Augusta (title) Target entity description: Augusta was an honorific title used in the Roman Empire to designate empresses and other imperial women of high status and prestige.
-
A.
Augusta of Cambridge
Augusta of Cambridge was a 19th-century British princess, granddaughter of King George III, who became Grand Duchess of Mecklenburg-Strelitz through marriage.
-
B.
Reginae
Reginae is an American television personality and singer best known as the daughter of rapper Lil Wayne and reality star Toya Johnson.
-
C.
Most Serene Highness
Most Serene Highness is a formal honorific style historically used for certain high-ranking sovereigns and princes in European monarchies.
-
D.
Empress
Empress is a science fiction comic book series written by Mark Millar that follows a queen fleeing a tyrannical galactic emperor with her children across the universe.
-
E.
Empress
Empress was the radio callsign used by Canadian Pacific Air Lines for its commercial flight operations.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf374f288190aa918b1b6b507420 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24ca88748190ae9e66bac5324e25 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe26d7be04819090860d5180c72329 |
completed | May 8, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe277c73c481908ca3bdb1c2113598 |
completed | May 8, 2026, 6:12 p.m. |
Created at: April 10, 2026, 1:47 a.m.