Triple
T18676665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia Frontiere |
E456619
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Frontiere
Frontiere is a surname most notably associated with Georgia Frontiere, the former majority owner of the NFL’s Los Angeles/St. Louis Rams.
|
E1337588
|
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: Frontiere | Statement: [Georgia Frontiere, familyName, Frontiere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frontiere Context triple: [Georgia Frontiere, familyName, Frontiere]
-
A.
Fronteira
Fronteira is a small Portuguese municipality in the Alentejo region, known for its rural landscape and historical heritage.
-
B.
Grenz
Grenz is a surname most notably associated with Stanley Grenz, a prominent late 20th-century evangelical theologian and author.
-
C.
Frontera
Frontera is a municipality on the Canary Island of El Hierro, Spain, known for its volcanic landscapes, coastal cliffs, and rural character.
-
D.
Grens
Grens is a small municipality in the canton of Vaud in western Switzerland, situated within the Nyon District near Lake Geneva.
-
E.
La Frontera
La Frontera is the historical frontier region in southern Chile that was the site of prolonged conflict and cultural interaction between Spanish colonizers and the indigenous Mapuche people.
- 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: Frontiere Triple: [Georgia Frontiere, familyName, Frontiere]
Generated description
Frontiere is a surname most notably associated with Georgia Frontiere, the former majority owner of the NFL’s Los Angeles/St. Louis Rams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frontiere Target entity description: Frontiere is a surname most notably associated with Georgia Frontiere, the former majority owner of the NFL’s Los Angeles/St. Louis Rams.
-
A.
Fronteira
Fronteira is a small Portuguese municipality in the Alentejo region, known for its rural landscape and historical heritage.
-
B.
Grenz
Grenz is a surname most notably associated with Stanley Grenz, a prominent late 20th-century evangelical theologian and author.
-
C.
Frontera
Frontera is a municipality on the Canary Island of El Hierro, Spain, known for its volcanic landscapes, coastal cliffs, and rural character.
-
D.
Grens
Grens is a small municipality in the canton of Vaud in western Switzerland, situated within the Nyon District near Lake Geneva.
-
E.
La Frontera
La Frontera is the historical frontier region in southern Chile that was the site of prolonged conflict and cultural interaction between Spanish colonizers and the indigenous Mapuche people.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b5a52c81908a71ac86544fb6aa |
completed | April 19, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052353c80c8190a17c23eef9406fcf |
completed | May 14, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a0523e3c99481909f4371d74ad7c266 |
completed | May 14, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0524461600819084dba49f65abf654 |
completed | May 14, 2026, 1:24 a.m. |
Created at: April 10, 2026, 11:48 a.m.