Triple
T1499822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qualcomm |
E29770
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Andrew Cohen
Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
|
E287233
|
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 Cohen | Statement: [Qualcomm, foundedBy, Andrew Cohen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Cohen Context triple: [Qualcomm, foundedBy, Andrew Cohen]
-
A.
Bruce Cohen
Bruce Cohen is an American film and television producer best known for his work on acclaimed films such as "American Beauty" and "Silver Linings Playbook."
-
B.
Adam Cohen
Adam Cohen is a Canadian singer-songwriter and musician, best known as the son of legendary artist Leonard Cohen and for his own solo and band projects.
-
C.
Jake Cohen
Jake Cohen is known primarily as the son of Michael Cohen, the former personal attorney to Donald Trump.
-
D.
Dan Cohen
Dan Cohen is a film and television producer best known for his work on major genre projects, including serving as an executive producer on the hit Netflix series "Stranger Things."
-
E.
Andrew Weisblum
Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
- 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 Cohen Triple: [Qualcomm, foundedBy, Andrew Cohen]
Generated description
Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Cohen Target entity description: Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
-
A.
Bruce Cohen
Bruce Cohen is an American film and television producer best known for his work on acclaimed films such as "American Beauty" and "Silver Linings Playbook."
-
B.
Adam Cohen
Adam Cohen is a Canadian singer-songwriter and musician, best known as the son of legendary artist Leonard Cohen and for his own solo and band projects.
-
C.
Jake Cohen
Jake Cohen is known primarily as the son of Michael Cohen, the former personal attorney to Donald Trump.
-
D.
Dan Cohen
Dan Cohen is a film and television producer best known for his work on major genre projects, including serving as an executive producer on the hit Netflix series "Stranger Things."
-
E.
Andrew Weisblum
Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6f2d7f881909188a3e5614335cd |
completed | March 1, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa035474881908e283cd1af65beea |
completed | March 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69afa1196aac81909b25557dff5acf5e |
completed | March 10, 2026, 4:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa1a7d9b48190a8b14a7d209e1f26 |
completed | March 10, 2026, 4:44 a.m. |
Created at: March 1, 2026, 8:12 p.m.