Triple

T7516526
Position Surface form Disambiguated ID Type / Status
Subject Kahan Commission E177658 entity
Predicate member P10 FINISHED
Object Yona Efrat
Yona Efrat is an Israeli public figure who served on the Kahan Commission, the official Israeli inquiry into the 1982 Sabra and Shatila massacre.
 E670546 NE FINISHED

How this triple was built (4 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: Yona Efrat | Statement: [Kahan Commission, member, Yona Efrat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yona Efrat
Context triple: [Kahan Commission, member, Yona Efrat]
  • A. Yona Wallach
    Yona Wallach was an influential Israeli poet known for her experimental, provocative, and psychologically charged Hebrew poetry that challenged social and sexual norms.
  • B. Ayelet Zurer
    Ayelet Zurer is an Israeli actress known internationally for her roles in films such as "Angels & Demons," "Munich," and "Man of Steel."
  • C. Nili Priel
    Nili Priel is an Israeli public figure best known as the wife of former Prime Minister and Defense Minister Ehud Barak.
  • D. Yehudit Katzir
    Yehudit Katzir is an Israeli author known for her influential contributions to contemporary Hebrew literature, particularly her introspective and emotionally nuanced fiction.
  • E. Daphna Kastner
    Daphna Kastner is a Canadian actress, screenwriter, and director known for her work in independent films.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yona Efrat
Triple: [Kahan Commission, member, Yona Efrat]
Generated description
Yona Efrat is an Israeli public figure who served on the Kahan Commission, the official Israeli inquiry into the 1982 Sabra and Shatila massacre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yona Efrat
Target entity description: Yona Efrat is an Israeli public figure who served on the Kahan Commission, the official Israeli inquiry into the 1982 Sabra and Shatila massacre.
  • A. Yona Wallach
    Yona Wallach was an influential Israeli poet known for her experimental, provocative, and psychologically charged Hebrew poetry that challenged social and sexual norms.
  • B. Ayelet Zurer
    Ayelet Zurer is an Israeli actress known internationally for her roles in films such as "Angels & Demons," "Munich," and "Man of Steel."
  • C. Nili Priel
    Nili Priel is an Israeli public figure best known as the wife of former Prime Minister and Defense Minister Ehud Barak.
  • D. Yehudit Katzir
    Yehudit Katzir is an Israeli author known for her influential contributions to contemporary Hebrew literature, particularly her introspective and emotionally nuanced fiction.
  • E. Daphna Kastner
    Daphna Kastner is a Canadian actress, screenwriter, and director known for her work in independent films.
  • F. None of above. chosen

Provenance (5 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f595148190b36649b0095bb898 completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84621ba688190b85ee787b856b138 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c847a7f49c819081b018575dce62b8 completed March 28, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69c84828b2c48190a70f3bcd9e7554cc completed March 28, 2026, 9:29 p.m.
Created at: March 27, 2026, 3:46 p.m.