Triple
T22024300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Price of Everything |
E543918
|
entity |
| Predicate | features |
P997
|
FINISHED |
| Object |
Stefan Edlis
Stefan Edlis was a prominent Chicago-based businessman, Holocaust survivor, and major contemporary art collector and philanthropist known for his significant donations to museums.
|
E1514728
|
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: Stefan Edlis | Statement: [The Price of Everything, features, Stefan Edlis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefan Edlis Context triple: [The Price of Everything, features, Stefan Edlis]
-
A.
Stefan Reitz
Stefan Reitz is a German economist and researcher known for his work in international finance and exchange rate dynamics.
-
B.
Stefan Denn
Stefan Denn is a German local politician who serves as the mayor of the town of Zierenberg in the state of Hesse.
-
C.
Paul Stadler
Paul Stadler is a fictional cardiothoracic surgeon and abusive ex-husband of Jo Wilson on the television series Grey's Anatomy.
-
D.
Stefan Vladar
Stefan Vladar is an Austrian pianist and conductor known for his leadership roles with European orchestras and opera houses.
-
E.
Stefan Gierasch
Stefan Gierasch was an American character actor known for his numerous supporting roles in film and television from the 1950s through the 1990s.
- 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: Stefan Edlis Triple: [The Price of Everything, features, Stefan Edlis]
Generated description
Stefan Edlis was a prominent Chicago-based businessman, Holocaust survivor, and major contemporary art collector and philanthropist known for his significant donations to museums.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stefan Edlis Target entity description: Stefan Edlis was a prominent Chicago-based businessman, Holocaust survivor, and major contemporary art collector and philanthropist known for his significant donations to museums.
-
A.
Stefan Reitz
Stefan Reitz is a German economist and researcher known for his work in international finance and exchange rate dynamics.
-
B.
Stefan Denn
Stefan Denn is a German local politician who serves as the mayor of the town of Zierenberg in the state of Hesse.
-
C.
Paul Stadler
Paul Stadler is a fictional cardiothoracic surgeon and abusive ex-husband of Jo Wilson on the television series Grey's Anatomy.
-
D.
Stefan Vladar
Stefan Vladar is an Austrian pianist and conductor known for his leadership roles with European orchestras and opera houses.
-
E.
Stefan Gierasch
Stefan Gierasch was an American character actor known for his numerous supporting roles in film and television from the 1950s through the 1990s.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ca45a08190b2d5d3a8eb37cb4b |
completed | April 28, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b66039481908a99e842e599cfdd |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7bf8e5248190be83754b44a91c7a |
completed | May 18, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7c8796b08190974bfc0c0f4ea363 |
completed | May 18, 2026, 2:42 a.m. |
Created at: April 16, 2026, 8:23 p.m.