Triple

T7581268
Position Surface form Disambiguated ID Type / Status
Subject Mercury Theatre E179490 entity
Predicate hasMember P10 FINISHED
Object George Coulouris E56214 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: George Coulouris | Statement: [Mercury Theatre, hasMember, George Coulouris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Coulouris
Context triple: [Mercury Theatre, hasMember, George Coulouris]
  • A. George Coulouris chosen
    George Coulouris was a British actor best known for his character roles in classic films and stage productions, including his memorable appearance in Orson Welles’s Citizen Kane.
  • B. George Coulouris Jr.
    George Coulouris Jr. is the son of British actor George Coulouris, known primarily in relation to his father's legacy.
  • C. Andreas Acrivos
    Andreas Acrivos was a prominent Greek-American chemical engineer and fluid dynamicist renowned for his pioneering contributions to transport phenomena and complex fluid flows.
  • D. Chris Tsangarides
    Chris Tsangarides was a British record producer and engineer renowned for his work with prominent rock and heavy metal artists from the late 1970s onward.
  • E. Joseph Sifakis
    Joseph Sifakis is a Greek-French computer scientist renowned for his pioneering work in formal verification and model checking, for which he received the Turing Award.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f97717048190b0ca1a74ed8a817e completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861735c7c81908e2c9fcbb1005ec3 completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:52 p.m.