Triple
T5784654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Save Mart Supermarkets |
E128240
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Michael Piccinini
Michael Piccinini is an American businessman best known as the founder of the Save Mart Supermarkets grocery chain.
|
E547825
|
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: Michael Piccinini | Statement: [Save Mart Supermarkets, foundedBy, Michael Piccinini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Piccinini Context triple: [Save Mart Supermarkets, foundedBy, Michael Piccinini]
-
A.
Michael Gilio
Michael Gilio is an American screenwriter and filmmaker best known for co-writing the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
-
B.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
-
C.
Luke Del Tredici
Luke Del Tredici is a television writer and producer best known for his work on the comedy series "Brooklyn Nine-Nine."
-
D.
Michael De Luca
Michael De Luca is an American film producer and studio executive known for overseeing and producing a wide range of major Hollywood films across genres.
-
E.
Michael Manfredi
Michael Manfredi is an American architect known for his innovative, context-sensitive designs and as a co-founder of the New York–based firm Weiss/Manfredi.
- 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: Michael Piccinini Triple: [Save Mart Supermarkets, foundedBy, Michael Piccinini]
Generated description
Michael Piccinini is an American businessman best known as the founder of the Save Mart Supermarkets grocery chain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Piccinini Target entity description: Michael Piccinini is an American businessman best known as the founder of the Save Mart Supermarkets grocery chain.
-
A.
Michael Gilio
Michael Gilio is an American screenwriter and filmmaker best known for co-writing the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
-
B.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
-
C.
Luke Del Tredici
Luke Del Tredici is a television writer and producer best known for his work on the comedy series "Brooklyn Nine-Nine."
-
D.
Michael De Luca
Michael De Luca is an American film producer and studio executive known for overseeing and producing a wide range of major Hollywood films across genres.
-
E.
Michael Manfredi
Michael Manfredi is an American architect known for his innovative, context-sensitive designs and as a co-founder of the New York–based firm Weiss/Manfredi.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a19870c819084dc68b36b0cdd60 |
completed | March 22, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09815e5c08190a01ffad813e9d195 |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c0995672f08190acce2a14266ccf6a |
completed | March 23, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c099fefd6c8190ae1b4480ef133f02 |
completed | March 23, 2026, 1:40 a.m. |
Created at: March 22, 2026, 3:51 p.m.