Triple
T5466703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David M. Rubenstein |
E122727
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object |
Andrew Rubenstein
Andrew Rubenstein is one of the children of billionaire financier and philanthropist David M. Rubenstein.
|
E527745
|
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: Andrew Rubenstein | Statement: [David M. Rubenstein, parentOf, Andrew Rubenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Rubenstein Context triple: [David M. Rubenstein, parentOf, Andrew Rubenstein]
-
A.
Jon Rubinstein
Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
-
B.
David Rubin
David Rubin is one of the children of pioneering American astronomer Vera Rubin, known for her groundbreaking work on galaxy rotation curves and dark matter.
-
C.
Howard Rosenman
Howard Rosenman is an American film producer known for his work on popular Hollywood movies and for helping bring LGBTQ themes into mainstream cinema.
-
D.
Michael Greenberg
Michael Greenberg is a prominent American neuroscientist renowned for his pioneering work on activity-dependent gene expression in the brain.
-
E.
Stephen Rubin
Stephen Rubin is a film producer best known for his work on the drama film "The Deep End of the Ocean."
- 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: Andrew Rubenstein Triple: [David M. Rubenstein, parentOf, Andrew Rubenstein]
Generated description
Andrew Rubenstein is one of the children of billionaire financier and philanthropist David M. Rubenstein.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Rubenstein Target entity description: Andrew Rubenstein is one of the children of billionaire financier and philanthropist David M. Rubenstein.
-
A.
Jon Rubinstein
Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
-
B.
David Rubin
David Rubin is one of the children of pioneering American astronomer Vera Rubin, known for her groundbreaking work on galaxy rotation curves and dark matter.
-
C.
Howard Rosenman
Howard Rosenman is an American film producer known for his work on popular Hollywood movies and for helping bring LGBTQ themes into mainstream cinema.
-
D.
Michael Greenberg
Michael Greenberg is a prominent American neuroscientist renowned for his pioneering work on activity-dependent gene expression in the brain.
-
E.
Stephen Rubin
Stephen Rubin is a film producer best known for his work on the drama film "The Deep End of the Ocean."
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9217009c819082631a2758b5f2a4 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bffc1b472c819087590fe2b8713ded |
completed | March 22, 2026, 2:26 p.m. |
| NEDg | Description generation | batch_69c0082296908190bd280826d256a4e1 |
completed | March 22, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0089c8ea8819096270656696008a9 |
completed | March 22, 2026, 3:19 p.m. |
Created at: March 20, 2026, 2:08 p.m.