Triple
T9632173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Francia |
E232833
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Francia
Francia is the surname of American rower and two-time Olympic gold medalist Susan Francia.
|
E812682
|
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: Francia | Statement: [Susan Francia, familyName, Francia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francia Context triple: [Susan Francia, familyName, Francia]
-
A.
France
France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
-
B.
France 5
France 5 is a French public television channel known for its focus on educational, cultural, and documentary programming.
-
C.
État français
État français was the authoritarian regime led by Marshal Philippe Pétain that governed unoccupied France from Vichy during World War II and collaborated with Nazi Germany.
-
D.
France Ô
France Ô was a French public television channel dedicated to programming from France’s overseas departments and territories, operated by the France Télévisions group.
-
E.
France and Germany
France and Germany are two major neighboring European countries that share deep historical ties, a central role in the European Union, and a long land border.
- 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: Francia Triple: [Susan Francia, familyName, Francia]
Generated description
Francia is the surname of American rower and two-time Olympic gold medalist Susan Francia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Francia Target entity description: Francia is the surname of American rower and two-time Olympic gold medalist Susan Francia.
-
A.
France
France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
-
B.
France 5
France 5 is a French public television channel known for its focus on educational, cultural, and documentary programming.
-
C.
État français
État français was the authoritarian regime led by Marshal Philippe Pétain that governed unoccupied France from Vichy during World War II and collaborated with Nazi Germany.
-
D.
France Ô
France Ô was a French public television channel dedicated to programming from France’s overseas departments and territories, operated by the France Télévisions group.
-
E.
France and Germany
France and Germany are two major neighboring European countries that share deep historical ties, a central role in the European Union, and a long land border.
- 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b2783b48190a9929dc3e3cd2956 |
completed | April 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189fa706c819080e8ac2411f57d93 |
completed | April 4, 2026, 10 p.m. |
| NEDg | Description generation | batch_69d18a8e0fbc8190912439815bab4677 |
completed | April 4, 2026, 10:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18afe54c88190846a873443aa56ef |
completed | April 4, 2026, 10:04 p.m. |
Created at: March 30, 2026, 8:11 p.m.