Triple

T2947995
Position Surface form Disambiguated ID Type / Status
Subject Ken Howery E79548 entity
Predicate memberOf P10 FINISHED
Object PayPal Mafia E85403 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: PayPal Mafia | Statement: [Ken Howery, memberOf, PayPal Mafia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PayPal Mafia
Context triple: [Ken Howery, memberOf, PayPal Mafia]
  • A. PayPal Mafia chosen
    The PayPal Mafia is an informal group of former PayPal founders and early employees who went on to create or lead numerous influential technology companies such as LinkedIn, Tesla, SpaceX, Yelp, and YouTube.
  • B. Moneybags
    Moneybags is a recurring, money-obsessed bear character in the Spyro the Dragon video game series who charges the player gems to unlock paths, abilities, and characters.
  • C. Revolution Money
    Revolution Money was a financial services company that offered low-fee payment and credit card solutions as an alternative to traditional card networks.
  • D. Revenge of the Hackers
    Revenge of the Hackers is an essay by open-source advocate Eric S. Raymond that chronicles the rise of the open-source movement and the cultural shift it brought to the software industry.
  • E. Blackhat
    Blackhat is a 2015 cyber-thriller film directed by Michael Mann that follows a convicted hacker recruited to help track down a high-level cybercrime network.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b5916c8190b1163bf0b7fa136a completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08695bea08190abce552493abda57 completed March 10, 2026, 9:01 p.m.
Created at: March 8, 2026, 2:57 p.m.