Triple

T4424517
Position Surface form Disambiguated ID Type / Status
Subject Palantir Technologies E95177 entity
Predicate coFounder P2835 FINISHED
Object Stephen Cohen E437201 NE FINISHED

How this triple was built (2 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, coFounder, Stephen Cohen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Cohen
Context triple: [Palantir Technologies, coFounder, Stephen Cohen]
  • A. Stephen Cohen chosen
    Stephen Cohen is a technology entrepreneur best known as a co-founder of the data analytics company Palantir Technologies.
  • B. 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."
  • C. Andrew Cohen
    Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
  • D. 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.
  • E. Shaul Tchernichovsky
    Shaul Tchernichovsky was a prominent Hebrew poet and translator of the early 20th century, known for his nature poetry, humanist themes, and influential role in modern Hebrew literature.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b613683d4c8190b04f14c7a74b619a completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:30 p.m.