Triple

T14421092
Position Surface form Disambiguated ID Type / Status
Subject Ehud Shabtai E357583 entity
Predicate hasAppellation P29604 FINISHED
Object Ehud Shabtai E357583 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: Ehud Shabtai | Statement: [Ehud Shabtai, hasAppellation, Ehud Shabtai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ehud Shabtai
Context triple: [Ehud Shabtai, hasAppellation, Ehud Shabtai]
  • A. Ehud Shabtai chosen
    Ehud Shabtai is an Israeli software engineer and entrepreneur best known as the co-founder and chief architect of the GPS-based navigation app Waze.
  • B. Ehud Brog
    Ehud Brog is the birth name of Ehud Barak, a former Prime Minister and Defense Minister of Israel and one of the country’s most decorated military officers.
  • C. Mordechai Gur
    Mordechai Gur was an Israeli general and later Chief of Staff of the Israel Defense Forces, best known for leading the paratroopers who entered the Old City of Jerusalem during the Six-Day War.
  • D. Mordechai Eliyahu
    Mordechai Eliyahu was a prominent Israeli rabbi and halachic authority who served as a leading spiritual figure in the Sephardi Jewish community.
  • E. Moshe Edery
    Moshe Edery is an Israeli film producer and distributor known for his significant role in the Israeli cinema industry.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91102c3c81908f571a1fff3bdd47 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda90a7f2881909a7744f1f4344173 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:18 a.m.