Triple
T15989872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redfin |
E387794
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
David Selinger
David Selinger is an American entrepreneur and technologist best known as a co-founder of the online real estate company Redfin and for his work in data analytics and AI-driven businesses.
|
E1234742
|
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: David Selinger | Statement: [Redfin, foundedBy, David Selinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Selinger Context triple: [Redfin, foundedBy, David Selinger]
-
A.
Alan Schlesinger
Alan Schlesinger is an American politician and attorney best known as the Republican nominee in the high-profile 2006 U.S. Senate race in Connecticut against Joe Lieberman and Ned Lamont.
-
B.
Adam Siegel
Adam Siegel is a film producer known for his work on action and genre movies, including the 2008 thriller "Wanted."
-
C.
Adam Siegel
Adam Siegel is a film producer known for working on major Hollywood action and crime movies, including the 2013 film "2 Guns."
-
D.
David Siegel
David Siegel is an author known for writing the book "Escape."
-
E.
David Siegel
David Siegel is a music producer known for his work on various pop and electronic recordings, including the track "Escape."
- 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: David Selinger Triple: [Redfin, foundedBy, David Selinger]
Generated description
David Selinger is an American entrepreneur and technologist best known as a co-founder of the online real estate company Redfin and for his work in data analytics and AI-driven businesses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Selinger Target entity description: David Selinger is an American entrepreneur and technologist best known as a co-founder of the online real estate company Redfin and for his work in data analytics and AI-driven businesses.
-
A.
Alan Schlesinger
Alan Schlesinger is an American politician and attorney best known as the Republican nominee in the high-profile 2006 U.S. Senate race in Connecticut against Joe Lieberman and Ned Lamont.
-
B.
Adam Siegel
Adam Siegel is a film producer known for his work on action and genre movies, including the 2008 thriller "Wanted."
-
C.
Adam Siegel
Adam Siegel is a film producer known for working on major Hollywood action and crime movies, including the 2013 film "2 Guns."
-
D.
David Siegel
David Siegel is an author known for writing the book "Escape."
-
E.
David Siegel
David Siegel is a music producer known for his work on various pop and electronic recordings, including the track "Escape."
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157829ec08190aa4a683e29a0148a |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b274fa3481908b019036cd2ae627 |
completed | May 10, 2026, 4:29 p.m. |
| NEDg | Description generation | batch_6a00b3ba6b048190a25e17c41921c370 |
completed | May 10, 2026, 4:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b43279688190bf012544b9e6ec41 |
completed | May 10, 2026, 4:37 p.m. |
Created at: April 10, 2026, 4:54 a.m.