Triple

T17990820
Position Surface form Disambiguated ID Type / Status
Subject Flickering Lights E430364 entity
Predicate castMember P1668 FINISHED
Object Fares Fares NE NERFINISHED

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: Fares Fares | Statement: [Flickering Lights, castMember, Fares Fares]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fares Fares
Context triple: [Flickering Lights, castMember, Fares Fares]
  • A. Fares Fares chosen
    Fares Fares is a Swedish-Lebanese actor known for his roles in Scandinavian crime films and international productions such as the "Department Q" series and the TV show "Westworld."
  • B. Zakaria Goneim
    Zakaria Goneim was an Egyptian archaeologist best known for uncovering the unfinished Step Pyramid of Sekhemkhet at Saqqara in the 1950s.
  • C. Samir Amer
    Samir Amer is a notable individual recognized for bearing the surname Amer.
  • D. Nabil Elaraby
    Nabil Elaraby is an Egyptian diplomat and jurist who has served in prominent international roles, including leadership within the Arab League and representation at the United Nations.
  • E. Nabil Swelim
    Nabil Swelim is an Egyptian archaeologist and Egyptologist known for his excavations and research on Old Kingdom pyramid complexes and necropoleis.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29f127c81908b0c4cb3787e002c completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.