Triple
T16311582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OfficeMax |
E396068
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Robert Hurwitz
Robert Hurwitz is an American businessman best known as a co-founder of the office supply retail chain OfficeMax.
|
E1206368
|
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: Robert Hurwitz | Statement: [OfficeMax, foundedBy, Robert Hurwitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Hurwitz Context triple: [OfficeMax, foundedBy, Robert Hurwitz]
-
A.
Elliot Rabinowitz
Elliot Rabinowitz, better known as Elliot Roberts, was a prominent American music manager renowned for guiding the careers of artists like Neil Young and Joni Mitchell.
-
B.
Ali Weinberg
Ali Weinberg is an American journalist and television news producer known for her work covering politics for major U.S. news networks.
-
C.
Alan Rosenberg
Alan Rosenberg is an American actor known for his extensive work in film and television, including prominent roles in series like "L.A. Law" and "Civil Wars."
-
D.
Michael Hershewe
Michael Hershewe is an American actor best known for his role in the 1978 horse-racing drama film "Casey’s Shadow."
-
E.
Albert Wolsky
Albert Wolsky is an acclaimed American costume designer known for his work on numerous prominent films and stage productions, earning multiple Academy Awards and industry honors.
- 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: Robert Hurwitz Triple: [OfficeMax, foundedBy, Robert Hurwitz]
Generated description
Robert Hurwitz is an American businessman best known as a co-founder of the office supply retail chain OfficeMax.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robert Hurwitz Target entity description: Robert Hurwitz is an American businessman best known as a co-founder of the office supply retail chain OfficeMax.
-
A.
Elliot Rabinowitz
Elliot Rabinowitz, better known as Elliot Roberts, was a prominent American music manager renowned for guiding the careers of artists like Neil Young and Joni Mitchell.
-
B.
Ali Weinberg
Ali Weinberg is an American journalist and television news producer known for her work covering politics for major U.S. news networks.
-
C.
Alan Rosenberg
Alan Rosenberg is an American actor known for his extensive work in film and television, including prominent roles in series like "L.A. Law" and "Civil Wars."
-
D.
Michael Hershewe
Michael Hershewe is an American actor best known for his role in the 1978 horse-racing drama film "Casey’s Shadow."
-
E.
Albert Wolsky
Albert Wolsky is an acclaimed American costume designer known for his work on numerous prominent films and stage productions, earning multiple Academy Awards and industry honors.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288dafb608190be35bd60342bb44e |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa6ceb48190b937a15b94fd3cfa |
completed | May 10, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a00219696dc8190bcce66c1eeb07561 |
completed | May 10, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002221fe7c819083c8ede5e63b0908 |
completed | May 10, 2026, 6:13 a.m. |
Created at: April 10, 2026, 5:06 a.m.