Triple
T2183134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nora |
E49090
|
entity |
| Predicate | isDiminutiveOf |
P456
|
FINISHED |
| Object |
Honora
Honora is a feminine given name of Latin origin meaning "honor" or "woman of honor."
|
E243280
|
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: Honora | Statement: [Nora, isDiminutiveOf, Honora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honora Context triple: [Nora, isDiminutiveOf, Honora]
-
A.
Cornelia
Cornelia is a feminine given name of Latin origin, historically associated with several notable women in European history.
-
B.
Princess Flavia
Princess Flavia is a noble and virtuous royal heroine in Anthony Hope’s adventure novel "The Prisoner of Zenda," central to its romantic and political intrigue.
-
C.
Julia Livilla
Julia Livilla was a Roman imperial princess of the Julio-Claudian dynasty, known as the sister of Emperor Caligula and for her involvement in the turbulent politics of the early Roman Empire.
-
D.
Arria
Arria is a family of mid-range field-programmable gate arrays (FPGAs) developed by Altera (now part of Intel) for high-performance, power-efficient digital logic applications.
-
E.
Claudia
Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
- 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: Honora Triple: [Nora, isDiminutiveOf, Honora]
Generated description
Honora is a feminine given name of Latin origin meaning "honor" or "woman of honor."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Honora Target entity description: Honora is a feminine given name of Latin origin meaning "honor" or "woman of honor."
-
A.
Cornelia
Cornelia is a feminine given name of Latin origin, historically associated with several notable women in European history.
-
B.
Princess Flavia
Princess Flavia is a noble and virtuous royal heroine in Anthony Hope’s adventure novel "The Prisoner of Zenda," central to its romantic and political intrigue.
-
C.
Julia Livilla
Julia Livilla was a Roman imperial princess of the Julio-Claudian dynasty, known as the sister of Emperor Caligula and for her involvement in the turbulent politics of the early Roman Empire.
-
D.
Arria
Arria is a family of mid-range field-programmable gate arrays (FPGAs) developed by Altera (now part of Intel) for high-performance, power-efficient digital logic applications.
-
E.
Claudia
Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf0d551881909d7f907378e1b2b7 |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5da786e48190896cae8fdcee3d83 |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae5e30a69c8190a3f77e784401f671 |
completed | March 9, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ea7909c8190a93d87a5d07b84d4 |
completed | March 9, 2026, 5:46 a.m. |
Created at: March 4, 2026, 7:45 p.m.