Triple
T13802084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zynga |
E331665
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Justin Waldron
Justin Waldron is an American entrepreneur best known as a co-founder of the social gaming company Zynga.
|
E1063092
|
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: Justin Waldron | Statement: [Zynga, foundedBy, Justin Waldron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justin Waldron Context triple: [Zynga, foundedBy, Justin Waldron]
-
A.
David Rosenblum
David Rosenblum is a prominent computer scientist known for his influential research in software engineering and formal methods.
-
B.
Jeffrey Alexander
Jeffrey Alexander is an American sociologist known for advancing neo-functionalism and cultural sociology, building on and revising the theoretical legacy of Talcott Parsons.
-
C.
Michael Glouberman
Michael Glouberman is a television writer and producer best known for his work on the acclaimed sitcom "Malcolm in the Middle."
-
D.
Russell Gewirtz
Russell Gewirtz is an American screenwriter best known for writing the crime thriller film "Inside Man."
-
E.
Christopher L. Eisgruber
Christopher L. Eisgruber is an American legal scholar and academic administrator who serves as the president of Princeton University.
- 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: Justin Waldron Triple: [Zynga, foundedBy, Justin Waldron]
Generated description
Justin Waldron is an American entrepreneur best known as a co-founder of the social gaming company Zynga.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Justin Waldron Target entity description: Justin Waldron is an American entrepreneur best known as a co-founder of the social gaming company Zynga.
-
A.
David Rosenblum
David Rosenblum is a prominent computer scientist known for his influential research in software engineering and formal methods.
-
B.
Jeffrey Alexander
Jeffrey Alexander is an American sociologist known for advancing neo-functionalism and cultural sociology, building on and revising the theoretical legacy of Talcott Parsons.
-
C.
Michael Glouberman
Michael Glouberman is a television writer and producer best known for his work on the acclaimed sitcom "Malcolm in the Middle."
-
D.
Russell Gewirtz
Russell Gewirtz is an American screenwriter best known for writing the crime thriller film "Inside Man."
-
E.
Christopher L. Eisgruber
Christopher L. Eisgruber is an American legal scholar and academic administrator who serves as the president of Princeton University.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ded6c8190851c108ae559a355 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8da594c81908cb878a8cc1b3a72 |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7ba1afc048190a0053497acc64fb1 |
completed | May 3, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ba936c4481908757699ff22d3904 |
completed | May 3, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:12 p.m.