Triple
T2646947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Marino |
E53805
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Michael Marino
Michael Marino is one of the sons of Pro Football Hall of Fame quarterback Dan Marino.
|
E285150
|
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 Marino | Statement: [Dan Marino, hasChild, Michael Marino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Marino Context triple: [Dan Marino, hasChild, Michael Marino]
-
A.
Darius N. Couch
Darius N. Couch was a Union Army major general during the American Civil War, noted for his corps command in key Eastern Theater campaigns.
-
B.
Scott Porter
Scott Porter is an American actor best known for his roles on television series such as "Friday Night Lights" and "Hart of Dixie."
-
C.
Ryan Francesconi
Ryan Francesconi is an American composer, guitarist, and arranger best known for his intricate acoustic work and collaborations with singer-songwriter Joanna Newsom.
-
D.
Michael Anthony Snowden
Michael Anthony Snowden is an American screenwriter best known for co-writing the comedy film "White Chicks."
-
E.
Kevin Hector
Kevin Hector is a former English footballer best known as a prolific forward for Derby County during their successful era in the late 1960s and 1970s.
- 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 Marino Triple: [Dan Marino, hasChild, Michael Marino]
Generated description
Michael Marino is one of the sons of Pro Football Hall of Fame quarterback Dan Marino.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Marino Target entity description: Michael Marino is one of the sons of Pro Football Hall of Fame quarterback Dan Marino.
-
A.
Darius N. Couch
Darius N. Couch was a Union Army major general during the American Civil War, noted for his corps command in key Eastern Theater campaigns.
-
B.
Scott Porter
Scott Porter is an American actor best known for his roles on television series such as "Friday Night Lights" and "Hart of Dixie."
-
C.
Ryan Francesconi
Ryan Francesconi is an American composer, guitarist, and arranger best known for his intricate acoustic work and collaborations with singer-songwriter Joanna Newsom.
-
D.
Michael Anthony Snowden
Michael Anthony Snowden is an American screenwriter best known for co-writing the comedy film "White Chicks."
-
E.
Kevin Hector
Kevin Hector is a former English footballer best known as a prolific forward for Derby County during their successful era in the late 1960s and 1970s.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd919bf2c81908feb768f3391e985 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98c721b08190b380d3625126cb55 |
completed | March 10, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69af996e93f08190ac4b8faa64fb0550 |
completed | March 10, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af99d58744819098633b2b51f7943e |
completed | March 10, 2026, 4:11 a.m. |
Created at: March 6, 2026, 9:53 p.m.