Triple
T15130808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amica Mutual Insurance Company |
E361412
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
A. T. Vigneron
A. T. Vigneron was the founder of Amica Mutual Insurance Company, one of the oldest mutual insurers of automobiles in the United States.
|
E1139115
|
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: A. T. Vigneron | Statement: [Amica Mutual Insurance Company, foundedBy, A. T. Vigneron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A. T. Vigneron Context triple: [Amica Mutual Insurance Company, foundedBy, A. T. Vigneron]
-
A.
Paul Masson
Paul Masson was a French track cyclist best known for winning multiple gold medals at the inaugural modern Olympic Games in 1896.
-
B.
René Guiette
René Guiette was a Belgian painter and art critic associated with modernist movements in the early 20th century.
-
C.
Jean-Philippe Vine
Jean-Philippe Vine is a British animator and film director best known for co-directing the animated feature film "Ron's Gone Wrong."
-
D.
André Tchelistcheff
André Tchelistcheff was a pioneering Russian-American winemaker and influential Napa Valley enologist often called the "dean of American winemaking."
-
E.
Daniel Guerard
Daniel Guerard is a French-born actor and former spouse of American actress Lorraine Bracco.
- 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: A. T. Vigneron Triple: [Amica Mutual Insurance Company, foundedBy, A. T. Vigneron]
Generated description
A. T. Vigneron was the founder of Amica Mutual Insurance Company, one of the oldest mutual insurers of automobiles in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A. T. Vigneron Target entity description: A. T. Vigneron was the founder of Amica Mutual Insurance Company, one of the oldest mutual insurers of automobiles in the United States.
-
A.
Paul Masson
Paul Masson was a French track cyclist best known for winning multiple gold medals at the inaugural modern Olympic Games in 1896.
-
B.
René Guiette
René Guiette was a Belgian painter and art critic associated with modernist movements in the early 20th century.
-
C.
Jean-Philippe Vine
Jean-Philippe Vine is a British animator and film director best known for co-directing the animated feature film "Ron's Gone Wrong."
-
D.
André Tchelistcheff
André Tchelistcheff was a pioneering Russian-American winemaker and influential Napa Valley enologist often called the "dean of American winemaking."
-
E.
Daniel Guerard
Daniel Guerard is a French-born actor and former spouse of American actress Lorraine Bracco.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b194748190801e3956bf2429d4 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fa449c8190aed8941168b063c3 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69febbfb58608190830eca7f9a78fc9c |
completed | May 9, 2026, 4:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69febc842a7081908a85ba2833212650 |
completed | May 9, 2026, 4:48 a.m. |
Created at: April 10, 2026, 3:06 a.m.