Triple
T9452301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panera Bread |
E227921
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Louis Kane
Louis Kane is an American entrepreneur best known as a co-founder of the bakery-café chain Panera Bread.
|
E801302
|
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: Louis Kane | Statement: [Panera Bread, foundedBy, Louis Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Kane Context triple: [Panera Bread, foundedBy, Louis Kane]
-
A.
Marcus Kane
Marcus Kane is a central political leader and moral compass in the post-apocalyptic TV series "The 100," known for his evolution from strict authoritarian to compassionate advocate for peace.
-
B.
Gene Lockhart
Gene Lockhart was a Canadian-American character actor known for his prolific work in Hollywood films and on stage during the 1930s and 1940s.
-
C.
Christian Kane
Christian Kane is an American actor and singer best known for his role as Eliot Spencer on the television series "Leverage" and as the lead vocalist of the country-rock band Kane.
-
D.
Mr. Kane
Mr. Kane is a hip-hop artist who contributed a guest appearance to Snoop Dogg’s album "Paid tha Cost to Be da Boss."
-
E.
Mr. Kane
Mr. Kane is the husband of Mary Kane, a character associated with the backstory of Charles Foster Kane in the classic film "Citizen Kane."
- 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: Louis Kane Triple: [Panera Bread, foundedBy, Louis Kane]
Generated description
Louis Kane is an American entrepreneur best known as a co-founder of the bakery-café chain Panera Bread.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Louis Kane Target entity description: Louis Kane is an American entrepreneur best known as a co-founder of the bakery-café chain Panera Bread.
-
A.
Marcus Kane
Marcus Kane is a central political leader and moral compass in the post-apocalyptic TV series "The 100," known for his evolution from strict authoritarian to compassionate advocate for peace.
-
B.
Gene Lockhart
Gene Lockhart was a Canadian-American character actor known for his prolific work in Hollywood films and on stage during the 1930s and 1940s.
-
C.
Christian Kane
Christian Kane is an American actor and singer best known for his role as Eliot Spencer on the television series "Leverage" and as the lead vocalist of the country-rock band Kane.
-
D.
Mr. Kane
Mr. Kane is a hip-hop artist who contributed a guest appearance to Snoop Dogg’s album "Paid tha Cost to Be da Boss."
-
E.
Mr. Kane
Mr. Kane is the husband of Mary Kane, a character associated with the backstory of Charles Foster Kane in the classic film "Citizen Kane."
- 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_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f68f9b081908bee041d4fc77e57 |
completed | April 1, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12272a2dc8190892a22db0799b6a4 |
completed | April 4, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69d12395841c8190857de8a50ab6345c |
completed | April 4, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1275bcbd88190a5742a9cf802425a |
completed | April 4, 2026, 2:59 p.m. |
Created at: March 30, 2026, 7:52 p.m.