Triple

T15410233
Position Surface form Disambiguated ID Type / Status
Subject Doran Martell E368567 entity
Predicate portrayedInTVBy P9616 FINISHED
Object Alexander Siddig E202169 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: Alexander Siddig | Statement: [Doran Martell, portrayedInTVBy, Alexander Siddig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Siddig
Context triple: [Doran Martell, portrayedInTVBy, Alexander Siddig]
  • A. Alexander Siddig chosen
    Alexander Siddig is a Sudanese-born British actor known for his roles in film and television, including prominent performances in "Star Trek: Deep Space Nine," "Syriana," and "Game of Thrones."
  • B. Tarek Sharif
    Tarek Sharif is the son of legendary Egyptian actors Omar Sharif and Faten Hamama.
  • C. Rami Nassar
    Rami Nassar is a technology and innovation leader known for his work in digital strategy, product development, and emerging technologies.
  • D. Nabil Elderkin
    Nabil Elderkin is an acclaimed photographer and music video director known for his visually striking work with artists such as Kanye West, Frank Ocean, and John Legend.
  • E. Tamer Hosny
    Tamer Hosny is an Egyptian singer, actor, and composer widely regarded as one of the most popular contemporary Arabic pop stars.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea4f13c819085d26fd32b5dca6f completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff135d65988190b35392bdf1e45985 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:20 a.m.