Triple
T10599830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lattner |
E275712
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lattner
Lattner is a surname most notably associated with John Lattner, an American football player and 1953 Heisman Trophy winner.
|
E275712
|
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: Lattner | Statement: [John Lattner, familyName, Lattner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lattner Context triple: [John Lattner, familyName, Lattner]
-
A.
John Lattner
John Lattner was a standout halfback for the University of Notre Dame who won the 1953 Heisman Trophy and later played in the NFL.
-
B.
Chris Lattner
Chris Lattner is a software engineer best known for creating the LLVM compiler infrastructure and leading the development of Apple’s Swift programming language.
-
C.
Michael Grunst
Michael Grunst is a German local politician who serves as the borough mayor of Berlin’s Lichtenberg district.
-
D.
Jim Weirich
Jim Weirich was an influential American software developer and speaker best known in the Ruby community for his contributions to open-source tools and his work in promoting clean code practices.
-
E.
Saverin
Saverin is the surname of Eduardo Saverin, the Brazilian-born entrepreneur best known as a co-founder of Facebook.
- 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: Lattner Triple: [John Lattner, familyName, Lattner]
Generated description
Lattner is a surname most notably associated with John Lattner, an American football player and 1953 Heisman Trophy winner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lattner Target entity description: Lattner is a surname most notably associated with John Lattner, an American football player and 1953 Heisman Trophy winner.
-
A.
John Lattner
chosen
John Lattner was a standout halfback for the University of Notre Dame who won the 1953 Heisman Trophy and later played in the NFL.
-
B.
Chris Lattner
Chris Lattner is a software engineer best known for creating the LLVM compiler infrastructure and leading the development of Apple’s Swift programming language.
-
C.
Michael Grunst
Michael Grunst is a German local politician who serves as the borough mayor of Berlin’s Lichtenberg district.
-
D.
Jim Weirich
Jim Weirich was an influential American software developer and speaker best known in the Ruby community for his contributions to open-source tools and his work in promoting clean code practices.
-
E.
Saverin
Saverin is the surname of Eduardo Saverin, the Brazilian-born entrepreneur best known as a co-founder of Facebook.
- F. None of above.
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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded45a3c81908cca736bf360e2f2 |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e9c1a7c8190a91ad479518e411f |
completed | April 10, 2026, 8:33 p.m. |
| NEDg | Description generation | batch_69d96145d1ec8190b3228733159e1364 |
completed | April 10, 2026, 8:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9623cf54081908abcdc88e13d5176 |
completed | April 10, 2026, 8:49 p.m. |
Created at: April 8, 2026, 7:30 p.m.