Triple
T4424489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palantir Technologies |
E95177
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Stephen Cohen
Stephen Cohen is a technology entrepreneur best known as a co-founder of the data analytics company Palantir Technologies.
|
E437201
|
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: Stephen Cohen | Statement: [Palantir Technologies, foundedBy, Stephen Cohen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Cohen Context triple: [Palantir Technologies, foundedBy, Stephen 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.
Andrew Cohen
Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
-
C.
Norman Finkelstein
Norman Finkelstein is an American political scientist, author, and commentator known for his controversial critiques of Israeli policy and the politics surrounding the Holocaust.
-
D.
Max Löwenthal
Max Löwenthal was a German lawyer and civil servant best known as the first husband of Elsa Einstein, who later married Albert Einstein.
-
E.
Jon Cohen
Jon Cohen is a screenwriter best known for co-writing the science fiction film "Minority Report."
- 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: Stephen Cohen Triple: [Palantir Technologies, foundedBy, Stephen Cohen]
Generated description
Stephen Cohen is a technology entrepreneur best known as a co-founder of the data analytics company Palantir Technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Cohen Target entity description: Stephen Cohen is a technology entrepreneur best known as a co-founder of the data analytics company Palantir Technologies.
-
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.
Andrew Cohen
Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
-
C.
Norman Finkelstein
Norman Finkelstein is an American political scientist, author, and commentator known for his controversial critiques of Israeli policy and the politics surrounding the Holocaust.
-
D.
Max Löwenthal
Max Löwenthal was a German lawyer and civil servant best known as the first husband of Elsa Einstein, who later married Albert Einstein.
-
E.
Jon Cohen
Jon Cohen is a screenwriter best known for co-writing the science fiction film "Minority Report."
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554ca5208190ba2661616dcf071c |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62f7eb88190a02669845126e790 |
completed | March 14, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69b5f6c8a58481908d7bd3d4cfaf265c |
completed | March 15, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5f73f38d481908ad44dfd33de85ca |
completed | March 15, 2026, 12:03 a.m. |
Created at: March 12, 2026, 11:30 p.m.