Triple

T13844371
Position Surface form Disambiguated ID Type / Status
Subject Dov Frohman E332753 entity
Predicate name P16 FINISHED
Object Dov Frohman E332753 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: Dov Frohman | Statement: [Dov Frohman, name, Dov Frohman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dov Frohman
Context triple: [Dov Frohman, name, Dov Frohman]
  • A. Dov Frohman chosen
    Dov Frohman is an Israeli engineer and inventor best known for pioneering the EPROM (erasable programmable read-only memory) and for his leadership role at Intel Israel.
  • B. Avron Fogelman
    Avron Fogelman is an American businessman and philanthropist best known as a former co-owner of the Kansas City Royals Major League Baseball team.
  • C. Ben Dorfman
    Ben Dorfman is a fictional character in Woody Allen’s 2016 romantic comedy film "Café Society."
  • D. Yoel Friedman
    Yoel Friedman is an individual notable enough to be recognized as a bearer of the Friedman surname, though specific widely known public details about him are not clearly established.
  • E. Andrew Neiderman
    Andrew Neiderman is an American novelist best known for his horror and suspense works, including "The Devil's Advocate" and for ghostwriting novels under V. C. Andrews' name.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b1a25c8190a9f85ba43c421188 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a5a733c819090a6710ab990c38d completed May 9, 2026, 11:28 a.m.
Created at: April 9, 2026, 10:13 p.m.