Triple
T2413916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revlon |
E52258
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Joseph Revson
Joseph Revson was an American businessman best known as a co-founder of the major cosmetics company Revlon.
|
E388406
|
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: Joseph Revson | Statement: [Revlon, foundedBy, Joseph Revson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Revson Context triple: [Revlon, foundedBy, Joseph Revson]
-
A.
Ralph Berkowitz
Ralph Berkowitz was an American pianist, accompanist, and arts administrator known for his influential work in classical music performance and education.
-
B.
Harold Hecht
Harold Hecht was an American film producer and talent agent best known for co-founding Hecht-Hill-Lancaster and producing acclaimed mid-20th-century films such as "Marty."
-
C.
Leonard Gershe
Leonard Gershe was an American playwright and screenwriter best known for his work on stage and film musicals, including the screenplay for "Funny Face."
-
D.
Harold Chasen
Harold Chasen is the morbid, death-obsessed young protagonist of the dark romantic comedy film "Harold and Maude."
-
E.
Stanley Saitowitz
Stanley Saitowitz is a South African-born American architect known for his minimalist, modernist designs and influential work in contemporary urban architecture.
- 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: Joseph Revson Triple: [Revlon, foundedBy, Joseph Revson]
Generated description
Joseph Revson was an American businessman best known as a co-founder of the major cosmetics company Revlon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joseph Revson Target entity description: Joseph Revson was an American businessman best known as a co-founder of the major cosmetics company Revlon.
-
A.
Ralph Berkowitz
Ralph Berkowitz was an American pianist, accompanist, and arts administrator known for his influential work in classical music performance and education.
-
B.
Harold Hecht
Harold Hecht was an American film producer and talent agent best known for co-founding Hecht-Hill-Lancaster and producing acclaimed mid-20th-century films such as "Marty."
-
C.
Leonard Gershe
Leonard Gershe was an American playwright and screenwriter best known for his work on stage and film musicals, including the screenplay for "Funny Face."
-
D.
Harold Chasen
Harold Chasen is the morbid, death-obsessed young protagonist of the dark romantic comedy film "Harold and Maude."
-
E.
Stanley Saitowitz
Stanley Saitowitz is a South African-born American architect known for his minimalist, modernist designs and influential work in contemporary urban architecture.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc94a6458819087b8c4fe81a2d031 |
completed | March 7, 2026, 6:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f00a71a881908790c9fccca51a62 |
completed | March 14, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_69b4f19d0f7c8190a32714cbe3b9fa76 |
completed | March 14, 2026, 5:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f1ecdd788190aebea36578923fad |
completed | March 14, 2026, 5:28 a.m. |
Created at: March 6, 2026, 9:41 p.m.