Triple
T13812040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Oller |
E331916
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Oller
Oller is a Spanish-origin surname borne by various notable individuals, including figures in the arts, sports, and public life.
|
E1063502
|
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: Oller | Statement: [Joseph Oller, familyName, Oller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oller Context triple: [Joseph Oller, familyName, Oller]
-
A.
Ollon
Ollon is a municipality in the canton of Vaud in southwestern Switzerland, known for its vineyards and proximity to the Alpine resort area of Villars.
-
B.
Olal
Olal is a small village located on Ambrym Island in the archipelago nation of Vanuatu in the South Pacific.
-
C.
Ollari
Ollari is a Dravidian language spoken by indigenous communities in eastern India, particularly in parts of Odisha and Andhra Pradesh.
-
D.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
-
E.
Ohlau
Ohlau is a historic town in southwestern Poland (formerly in Germany) known today as Oława, located near Wrocław in Lower Silesia.
- 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: Oller Triple: [Joseph Oller, familyName, Oller]
Generated description
Oller is a Spanish-origin surname borne by various notable individuals, including figures in the arts, sports, and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oller Target entity description: Oller is a Spanish-origin surname borne by various notable individuals, including figures in the arts, sports, and public life.
-
A.
Ollon
Ollon is a municipality in the canton of Vaud in southwestern Switzerland, known for its vineyards and proximity to the Alpine resort area of Villars.
-
B.
Olal
Olal is a small village located on Ambrym Island in the archipelago nation of Vanuatu in the South Pacific.
-
C.
Ollari
Ollari is a Dravidian language spoken by indigenous communities in eastern India, particularly in parts of Odisha and Andhra Pradesh.
-
D.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
-
E.
Ohlau
Ohlau is a historic town in southwestern Poland (formerly in Germany) known today as Oława, located near Wrocław in Lower Silesia.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de027198f8819095da3e714ac241f5 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8de34a4819090c99cb78b941003 |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b974fce88190ace5030555b7b5f1 |
completed | May 3, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ba99ad9c8190906b6b63cf27a446 |
completed | May 3, 2026, 9:14 p.m. |
Created at: April 9, 2026, 10:12 p.m.