Triple

T5495136
Position Surface form Disambiguated ID Type / Status
Subject Point72 Asset Management E144192 entity
Predicate hasDivision P35 FINISHED
Object Point72 Ventures E532175 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: Point72 Ventures | Statement: [Point72 Asset Management, hasDivision, Point72 Ventures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Point72 Ventures
Context triple: [Point72 Asset Management, hasDivision, Point72 Ventures]
  • A. Point72 Ventures chosen
    Point72 Ventures is a venture capital firm that invests in early-stage technology and financial services companies, backed by Steve Cohen’s Point72 Asset Management.
  • B. Point72 Asset Management
    Point72 Asset Management is a hedge fund and investment management firm founded by billionaire investor Steven A. Cohen, known for its multi-strategy approach and global trading operations.
  • C. Mohr Davidow Ventures
    Mohr Davidow Ventures is a Silicon Valley-based venture capital firm known for investing in early-stage technology and life sciences startups.
  • D. Mansueto Ventures
    Mansueto Ventures is a media company best known for publishing the business magazine Fast Company.
  • E. Revolution Ventures
    Revolution Ventures is a venture capital firm founded by Steve Case that invests in early-stage, high-growth companies, often outside traditional tech hubs.
  • 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_69c008f5a2748190bce7a39aabf87a6d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01b8c05ac8190999f84c33719d794 completed March 22, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059c555148190925b2f678979b418 completed March 22, 2026, 9:06 p.m.
Created at: March 22, 2026, 3:31 p.m.