Triple
T9303715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Gentzkow |
E223828
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object |
Nathan Petek
Nathan Petek is an academic researcher known for coauthoring economics-related work with scholars such as Matthew Gentzkow.
|
E790062
|
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: Nathan Petek | Statement: [Matthew Gentzkow, coAuthor, Nathan Petek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathan Petek Context triple: [Matthew Gentzkow, coAuthor, Nathan Petek]
-
A.
Nathan Keller
Nathan Keller is an Israeli mathematician and cryptographer known for his work in discrete mathematics, Boolean functions, and the analysis of cryptographic algorithms.
-
B.
Trenton Fisher
Trenton Fisher is known as the husband of American singer Kate Smith.
-
C.
Preston D'Ambrosio
Preston D'Ambrosio is a fictional character appearing in the film "In Too Deep."
-
D.
Alex Tuch
Alex Tuch is an American professional ice hockey winger in the NHL known for his size, speed, and scoring ability.
-
E.
Trent Baalke
Trent Baalke is an American football executive best known for his tenure as an NFL general manager, including leading front offices for multiple franchises.
- 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: Nathan Petek Triple: [Matthew Gentzkow, coAuthor, Nathan Petek]
Generated description
Nathan Petek is an academic researcher known for coauthoring economics-related work with scholars such as Matthew Gentzkow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nathan Petek Target entity description: Nathan Petek is an academic researcher known for coauthoring economics-related work with scholars such as Matthew Gentzkow.
-
A.
Nathan Keller
Nathan Keller is an Israeli mathematician and cryptographer known for his work in discrete mathematics, Boolean functions, and the analysis of cryptographic algorithms.
-
B.
Trenton Fisher
Trenton Fisher is known as the husband of American singer Kate Smith.
-
C.
Preston D'Ambrosio
Preston D'Ambrosio is a fictional character appearing in the film "In Too Deep."
-
D.
Alex Tuch
Alex Tuch is an American professional ice hockey winger in the NHL known for his size, speed, and scoring ability.
-
E.
Trent Baalke
Trent Baalke is an American football executive best known for his tenure as an NFL general manager, including leading front offices for multiple franchises.
- 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_69ca8424d0f08190831e2e93c6533aeb |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d4c5e48190aa8c744a158e5fbb |
completed | April 1, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b26ae3c881909e88f0253e73f0ea |
completed | April 4, 2026, 6:40 a.m. |
| NEDg | Description generation | batch_69d0b3ba0bd88190873816ec7e7929a7 |
completed | April 4, 2026, 6:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b49ec4c88190a48909e7022d7e60 |
completed | April 4, 2026, 6:50 a.m. |
Created at: March 30, 2026, 7:36 p.m.