Triple

T12405579
Position Surface form Disambiguated ID Type / Status
Subject Jacob Epstein E296375 entity
Predicate familyName P18 FINISHED
Object Epstein E142195 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: Epstein | Statement: [Jacob Epstein, familyName, Epstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Epstein
Context triple: [Jacob Epstein, familyName, Epstein]
  • A. Epstein chosen
    Epstein is a common Ashkenazi Jewish surname borne by numerous notable figures in fields such as literature, science, politics, and entertainment.
  • B. Jeffrey Epstein
    Jeffrey Epstein was an American financier and convicted sex offender whose high-profile connections and arrest for running a sex trafficking operation made him a central figure in a major international scandal.
  • C. E.P. Ripley
    E.P. Ripley is a steam locomotive that serves as one of the original trains operating on the Disneyland Railroad in Disneyland Park.
  • D. Zuckerman
    Zuckerman is a surname most notably associated with American screenwriter, actor, and director Buck Henry.
  • E. Dr. Gonzo
    Dr. Gonzo is the wild, unpredictable attorney and drug-fueled companion of Raoul Duke in Hunter S. Thompson’s "Fear and Loathing in Las Vegas."
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d48f1908190918551c794f98fe3 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63486d1b881908d94218d2c391123 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.