Triple
T2849571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wharton School of the University of Pennsylvania |
E63058
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object |
Alex Gorsky
Alex Gorsky is an American business executive best known for serving as chairman and CEO of Johnson & Johnson.
|
E367742
|
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: Alex Gorsky | Statement: [Wharton School of the University of Pennsylvania, hasAlumnus, Alex Gorsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Gorsky Context triple: [Wharton School of the University of Pennsylvania, hasAlumnus, Alex Gorsky]
-
A.
Mike Sokolsky
Mike Sokolsky is a co-founder of the online education platform Udacity, known for its technology-focused courses and nanodegree programs.
-
B.
Alex Segal
Alex Segal was an American film, television, and theater director active in the mid-20th century.
-
C.
Michael Starobin
Michael Starobin is a Tony Award–winning American orchestrator and arranger known for his work on numerous Broadway musicals.
-
D.
Michael Gelman
Michael Gelman is a longtime American television producer best known for his work shaping and overseeing the daytime talk show "Live!" through its various host pairings.
-
E.
Gregori Warchavchik
Gregori Warchavchik was a pioneering modernist architect in Brazil, known for introducing and promoting modern architecture in the country during the early 20th century.
- 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: Alex Gorsky Triple: [Wharton School of the University of Pennsylvania, hasAlumnus, Alex Gorsky]
Generated description
Alex Gorsky is an American business executive best known for serving as chairman and CEO of Johnson & Johnson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alex Gorsky Target entity description: Alex Gorsky is an American business executive best known for serving as chairman and CEO of Johnson & Johnson.
-
A.
Mike Sokolsky
Mike Sokolsky is a co-founder of the online education platform Udacity, known for its technology-focused courses and nanodegree programs.
-
B.
Alex Segal
Alex Segal was an American film, television, and theater director active in the mid-20th century.
-
C.
Michael Starobin
Michael Starobin is a Tony Award–winning American orchestrator and arranger known for his work on numerous Broadway musicals.
-
D.
Michael Gelman
Michael Gelman is a longtime American television producer best known for his work shaping and overseeing the daytime talk show "Live!" through its various host pairings.
-
E.
Gregori Warchavchik
Gregori Warchavchik was a pioneering modernist architect in Brazil, known for introducing and promoting modern architecture in the country during the early 20th century.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf41ac24819087c5b72e3b84117c |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38ba5bc088190bd656c2959cdfb6a |
completed | March 13, 2026, 3:59 a.m. |
| NEDg | Description generation | batch_69b3acb9a94c81909f6d0a3f43dc43e9 |
completed | March 13, 2026, 6:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3ad2484288190ad5c603418e984fb |
completed | March 13, 2026, 6:22 a.m. |
Created at: March 6, 2026, 10:02 p.m.