Triple
T9480037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conrad |
E228611
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object |
Conradine
Conradine is a feminine given name derived from Conrad, used primarily in Germanic and European naming traditions.
|
E802451
|
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: Conradine | Statement: [Conrad, relatedName, Conradine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conradine Context triple: [Conrad, relatedName, Conradine]
-
A.
Cornelia
Cornelia is a feminine given name of Latin origin, historically associated with several notable women in European history.
-
B.
Támara
Támara is a small rural municipality in eastern Colombia known for its agricultural economy and location in the Andean foothills of the Casanare region.
-
C.
Marcané
Marcané is a locality within Cueto Municipality in Holguín Province, Cuba, known primarily as a small rural community.
-
D.
Adelfia
Adelfia is a town and comune in the Apulia region of southern Italy, known for its agricultural traditions and religious festivals.
-
E.
Anniceris
Anniceris was an ancient Greek philosopher of the Cyrenaic school known for revising its hedonistic doctrine to emphasize friendship, gratitude, and social obligations alongside personal pleasure.
- 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: Conradine Triple: [Conrad, relatedName, Conradine]
Generated description
Conradine is a feminine given name derived from Conrad, used primarily in Germanic and European naming traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Conradine Target entity description: Conradine is a feminine given name derived from Conrad, used primarily in Germanic and European naming traditions.
-
A.
Cornelia
Cornelia is a feminine given name of Latin origin, historically associated with several notable women in European history.
-
B.
Támara
Támara is a small rural municipality in eastern Colombia known for its agricultural economy and location in the Andean foothills of the Casanare region.
-
C.
Marcané
Marcané is a locality within Cueto Municipality in Holguín Province, Cuba, known primarily as a small rural community.
-
D.
Adelfia
Adelfia is a town and comune in the Apulia region of southern Italy, known for its agricultural traditions and religious festivals.
-
E.
Anniceris
Anniceris was an ancient Greek philosopher of the Cyrenaic school known for revising its hedonistic doctrine to emphasize friendship, gratitude, and social obligations alongside personal pleasure.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8016813881908dafc026779c89c4 |
completed | April 1, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cf7526c8190b96693bdc13743d5 |
completed | April 4, 2026, 3:23 p.m. |
| NEDg | Description generation | batch_69d12ed9240c8190bd206a0d2263e249 |
completed | April 4, 2026, 3:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12f870d2881909b0b50adfd2ba13b |
completed | April 4, 2026, 3:34 p.m. |
Created at: March 30, 2026, 7:54 p.m.