Triple
T3245486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DTrace |
E68056
|
entity |
| Predicate | notableContributor |
P304
|
FINISHED |
| Object |
Adam Leventhal
Adam Leventhal is a software engineer best known for his key role in the design and development of the DTrace dynamic tracing framework at Sun Microsystems.
|
E342348
|
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: Adam Leventhal | Statement: [DTrace, notableContributor, Adam Leventhal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Leventhal Context triple: [DTrace, notableContributor, Adam Leventhal]
-
A.
Jason Blumenthal
Jason Blumenthal is an American film producer known for his work on a variety of Hollywood feature films, including the comedy-drama "Troop Zero."
-
B.
Bennett Rosenthal
Bennett Rosenthal is an American businessman and private equity executive best known as a co-owner of the Major League Soccer club Los Angeles FC.
-
C.
Ryan Roslansky
Ryan Roslansky is the CEO of LinkedIn, known for leading the professional networking platform’s product and business strategy.
-
D.
Jason Katz
Jason Katz is an American screenwriter and story artist best known for his work on Pixar animated films.
-
E.
Josh Goldstein
Josh Goldstein is a screenwriter best known for co-writing the story for Disney’s adventure film "Jungle Cruise."
- 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: Adam Leventhal Triple: [DTrace, notableContributor, Adam Leventhal]
Generated description
Adam Leventhal is a software engineer best known for his key role in the design and development of the DTrace dynamic tracing framework at Sun Microsystems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adam Leventhal Target entity description: Adam Leventhal is a software engineer best known for his key role in the design and development of the DTrace dynamic tracing framework at Sun Microsystems.
-
A.
Jason Blumenthal
Jason Blumenthal is an American film producer known for his work on a variety of Hollywood feature films, including the comedy-drama "Troop Zero."
-
B.
Bennett Rosenthal
Bennett Rosenthal is an American businessman and private equity executive best known as a co-owner of the Major League Soccer club Los Angeles FC.
-
C.
Ryan Roslansky
Ryan Roslansky is the CEO of LinkedIn, known for leading the professional networking platform’s product and business strategy.
-
D.
Jason Katz
Jason Katz is an American screenwriter and story artist best known for his work on Pixar animated films.
-
E.
Josh Goldstein
Josh Goldstein is a screenwriter best known for co-writing the story for Disney’s adventure film "Jungle Cruise."
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1a96148190b63bf46209712707 |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28eb55734819093f470caacc3e29c |
completed | March 12, 2026, 10 a.m. |
| NEDg | Description generation | batch_69b28f9e12488190b93355b783300264 |
completed | March 12, 2026, 10:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2c092063481909982dea3f71c00c1 |
completed | March 12, 2026, 1:33 p.m. |
Created at: March 8, 2026, 3:09 p.m.