Triple

T15961585
Position Surface form Disambiguated ID Type / Status
Subject Dahlia Iyad E387072 entity
Predicate name P16 FINISHED
Object Dahlia Iyad E387072 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: Dahlia Iyad | Statement: [Dahlia Iyad, name, Dahlia Iyad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dahlia Iyad
Context triple: [Dahlia Iyad, name, Dahlia Iyad]
  • A. Dahlia Iyad chosen
    Dahlia Iyad is the central protagonist of the thriller novel "Black Sunday," around whom the story’s suspenseful plot and character-driven drama revolve.
  • B. Safia Farkash
    Safia Farkash is the second wife of former Libyan leader Muammar Gaddafi and the mother of several of his children, known primarily for her role as Libya’s de facto first lady during his rule.
  • C. Aida El-Kachef
    Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
  • D. Khalida Jarrar
    Khalida Jarrar is a prominent Palestinian politician, feminist, and human rights advocate known for her leadership in the Popular Front for the Liberation of Palestine and her work on prisoners’ rights.
  • E. Nadia Dajani
    Nadia Dajani is an American actress known for her work in television, film, and theater, including prominent roles in 1990s sitcoms and various independent films.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15700651c819091c1cc4f60894c35 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe827d248190adbfd41f55638ebd completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.