Triple

T9853996
Position Surface form Disambiguated ID Type / Status
Subject Alan & Naomi E239538 entity
Predicate leadActor P1507 FINISHED
Object Vanessa Zaoui
Vanessa Zaoui is an actress best known for her leading role in the 1992 Holocaust-themed drama film "Alan & Naomi."
E825072 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: Vanessa Zaoui | Statement: [Alan & Naomi, leadActor, Vanessa Zaoui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanessa Zaoui
Context triple: [Alan & Naomi, leadActor, Vanessa Zaoui]
  • A. Najla Bouden
    Najla Bouden is a Tunisian academic and politician who became the country’s first female prime minister and the first woman to hold such a post in the Arab world.
  • B. Zohra Sellami
    Zohra Sellami was the wife of Ahmed Ben Bella, the first President of independent Algeria.
  • C. Radhia Nasraoui
    Radhia Nasraoui is a prominent Tunisian human rights lawyer and activist known for her work defending political prisoners and opposing torture and authoritarianism.
  • D. Aida El-Kachef
    Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
  • E. Naïma Kefi
    Naïma Kefi is a Tunisian public figure best known as the wife of former Tunisian president Zine El Abidine Ben Ali.
  • 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: Vanessa Zaoui
Triple: [Alan & Naomi, leadActor, Vanessa Zaoui]
Generated description
Vanessa Zaoui is an actress best known for her leading role in the 1992 Holocaust-themed drama film "Alan & Naomi."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vanessa Zaoui
Target entity description: Vanessa Zaoui is an actress best known for her leading role in the 1992 Holocaust-themed drama film "Alan & Naomi."
  • A. Najla Bouden
    Najla Bouden is a Tunisian academic and politician who became the country’s first female prime minister and the first woman to hold such a post in the Arab world.
  • B. Zohra Sellami
    Zohra Sellami was the wife of Ahmed Ben Bella, the first President of independent Algeria.
  • C. Radhia Nasraoui
    Radhia Nasraoui is a prominent Tunisian human rights lawyer and activist known for her work defending political prisoners and opposing torture and authoritarianism.
  • D. Aida El-Kachef
    Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
  • E. Naïma Kefi
    Naïma Kefi is a Tunisian public figure best known as the wife of former Tunisian president Zine El Abidine Ben Ali.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb376d32c819089381cf6ed83629d completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5f21a04819099f23ede55ec3417 completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d7a6a87c81908dcd79c776bb19a1 completed April 5, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69d1d82007088190ac372c67a6760e65 completed April 5, 2026, 3:33 a.m.
Created at: March 30, 2026, 8:34 p.m.