Triple

T14520008
Position Surface form Disambiguated ID Type / Status
Subject American Sniper E340625 entity
Predicate starring P1507 FINISHED
Object Navid Negahban E434113 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: Navid Negahban | Statement: [American Sniper, starring, Navid Negahban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Navid Negahban
Context triple: [American Sniper, starring, Navid Negahban]
  • A. Navid Negahban chosen
    Navid Negahban is an Iranian-American actor known for his roles in film and television, including prominent performances in series like "Homeland" and various Hollywood productions.
  • B. Ali Soheili
    Ali Soheili was an Iranian politician who served as prime minister during the early 1940s, a turbulent period marked by World War II and foreign occupation of Iran.
  • C. Ramin Kousha
    Ramin Kousha is a film composer best known for scoring the cult disaster movie "Sharknado."
  • D. Behdad Eghbali
    Behdad Eghbali is an American private equity investor and co-founder of Clearlake Capital Group, known for major investments in sports, technology, and industrial companies.
  • E. Bijan Davari
    Bijan Davari is an Iranian-American electrical engineer and IBM researcher known for his pioneering contributions to high-performance CMOS technology and microprocessor design.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a70b15c81908773633e989ef704 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde16666b8819090fb33c71515ab0a completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:22 a.m.