Triple
T146911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Apprentice |
E3349
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Page Feldman
Page Feldman is a television producer best known for her executive production work on the reality competition series "The Apprentice."
|
E56918
|
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: Page Feldman | Statement: [The Apprentice, executiveProducer, Page Feldman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Page Feldman Context triple: [The Apprentice, executiveProducer, Page Feldman]
-
A.
Jay Bienstock
Jay Bienstock is a television producer best known for his work on major reality competition series, including serving as an executive producer on "The Apprentice."
-
B.
Suzanne Goldberg
Suzanne Goldberg is a prominent civil rights lawyer and legal scholar known for her work on free speech and equality issues in the United States.
-
C.
Chris Lebenzon
Chris Lebenzon is an American film editor known for his long-time collaborations with directors like Tim Burton and Tony Scott on major Hollywood films.
-
D.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
E.
Sally Kornbluth
Sally Kornbluth is an American cell biologist and academic leader who became the 18th president of the Massachusetts Institute of Technology.
- 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: Page Feldman Triple: [The Apprentice, executiveProducer, Page Feldman]
Generated description
Page Feldman is a television producer best known for her executive production work on the reality competition series "The Apprentice."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Page Feldman Target entity description: Page Feldman is a television producer best known for her executive production work on the reality competition series "The Apprentice."
-
A.
Jay Bienstock
Jay Bienstock is a television producer best known for his work on major reality competition series, including serving as an executive producer on "The Apprentice."
-
B.
Suzanne Goldberg
Suzanne Goldberg is a prominent civil rights lawyer and legal scholar known for her work on free speech and equality issues in the United States.
-
C.
Chris Lebenzon
Chris Lebenzon is an American film editor known for his long-time collaborations with directors like Tim Burton and Tony Scott on major Hollywood films.
-
D.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
E.
Sally Kornbluth
Sally Kornbluth is an American cell biologist and academic leader who became the 18th president of the Massachusetts Institute of Technology.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25bab43608190ba5ebfbee6b5b6e4 |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a44cb1bfe48190b8b7523b95d4a099 |
completed | March 1, 2026, 2:26 p.m. |
| NEDg | Description generation | batch_69a44d42f6548190ba83a589c46be961 |
completed | March 1, 2026, 2:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a44d93a1d881908c1ac2685b7ffc6c |
completed | March 1, 2026, 2:30 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.