Triple
T10085350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldberg |
E215205
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Michael Goldberg
Michael Goldberg is a common personal name shared by multiple individuals across fields such as the arts, academia, and public life.
|
E848382
|
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: Michael Goldberg | Statement: [Goldberg, hasNotableBearer, Michael Goldberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Goldberg Context triple: [Goldberg, hasNotableBearer, Michael Goldberg]
-
A.
Michael Goldberg
Michael Goldberg was an American screenwriter best known for co-writing the popular 1993 sports comedy film "Cool Runnings."
-
B.
Mike Greenberg
Mike Greenberg is an American television and radio sportscaster best known as a longtime ESPN personality and co-host of popular sports talk shows.
-
C.
Michael Greenberg
Michael Greenberg is a prominent American neuroscientist renowned for his pioneering work on activity-dependent gene expression in the brain.
-
D.
Michael Greenberg
Michael Greenberg is an American businessman best known as the co-founder and longtime executive leader of the global footwear company Skechers.
-
E.
Andrew Rubenstein
Andrew Rubenstein is one of the children of billionaire financier and philanthropist David M. Rubenstein.
- 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: Michael Goldberg Triple: [Goldberg, hasNotableBearer, Michael Goldberg]
Generated description
Michael Goldberg is a common personal name shared by multiple individuals across fields such as the arts, academia, and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Goldberg Target entity description: Michael Goldberg is a common personal name shared by multiple individuals across fields such as the arts, academia, and public life.
-
A.
Michael Goldberg
Michael Goldberg was an American screenwriter best known for co-writing the popular 1993 sports comedy film "Cool Runnings."
-
B.
Mike Greenberg
Mike Greenberg is an American television and radio sportscaster best known as a longtime ESPN personality and co-host of popular sports talk shows.
-
C.
Michael Greenberg
Michael Greenberg is a prominent American neuroscientist renowned for his pioneering work on activity-dependent gene expression in the brain.
-
D.
Michael Greenberg
Michael Greenberg is an American businessman best known as the co-founder and longtime executive leader of the global footwear company Skechers.
-
E.
Andrew Rubenstein
Andrew Rubenstein is one of the children of billionaire financier and philanthropist David M. Rubenstein.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04609748190987a9364a387fa61 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d354e57ea88190922e7eee07fd86f2 |
completed | April 6, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69d358df8b8c8190b79b9b31f1f89311 |
completed | April 6, 2026, 6:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d359547f6881908fa8830dc65beabc |
completed | April 6, 2026, 6:57 a.m. |
Created at: March 30, 2026, 9 p.m.