Triple

T10794416
Position Surface form Disambiguated ID Type / Status
Subject Isaac Herzog E254665 entity
Predicate familyName P18 FINISHED
Object Herzog E161955 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: Herzog | Statement: [Isaac Herzog, familyName, Herzog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herzog
Context triple: [Isaac Herzog, familyName, Herzog]
  • A. Herzog chosen
    Herzog is a German surname borne by numerous notable figures in politics, arts, and academia, and is also the title of a celebrated novel by Saul Bellow.
  • B. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • C. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • D. Aura Herzog
    Aura Herzog was an Israeli social activist and public figure who founded the Council for a Beautiful Israel and served as the country's First Lady during Chaim Herzog's presidency.
  • E. Dalstroi
    Dalstroi was a Soviet state organization that managed forced labor camps and large-scale industrial and construction projects in the Kolyma region, particularly focused on gold mining.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f878648190be5e25c56a7511cf completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de564748ac8190beaaea44bb2d95ed completed April 14, 2026, 2:59 p.m.
Created at: April 8, 2026, 9:17 p.m.