Triple

T11178570
Position Surface form Disambiguated ID Type / Status
Subject Gila Katsav E264475 entity
Predicate name P16 FINISHED
Object Gila Katsav E264475 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: Gila Katsav | Statement: [Gila Katsav, name, Gila Katsav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gila Katsav
Context triple: [Gila Katsav, name, Gila Katsav]
  • A. Gila Katsav chosen
    Gila Katsav is an Israeli public figure best known as the wife of former Israeli President Moshe Katsav and for her role as First Lady of Israel during his tenure.
  • B. Moshe Katsav
    Moshe Katsav is an Israeli politician who served as the eighth President of Israel and was later convicted and imprisoned for rape and other sexual offenses.
  • C. Itamar Franco
    Itamar Franco was a Brazilian politician who served as president in the early 1990s and oversaw the economic stabilization that paved the way for Brazil’s return to monetary stability and growth.
  • D. Moshe Kahlon
    Moshe Kahlon is an Israeli politician known for serving as Israel’s finance minister and for championing socioeconomic reforms, particularly in lowering the cost of living and increasing market competition.
  • E. Ehud Yonay
    Ehud Yonay was an Israeli-American writer and journalist best known for his 1983 magazine article that inspired the film "Top Gun."
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e899c6288190b39e090fa9cdc883 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4839eeaac8190826007ca126ed491 completed April 19, 2026, 7:26 a.m.
Created at: April 8, 2026, 9:29 p.m.