Triple

T1648773
Position Surface form Disambiguated ID Type / Status
Subject Frankie Goes to Hollywood E35643 entity
Predicate guitarist P15278 FINISHED
Object Brian Nash E255459 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: Brian Nash | Statement: [Frankie Goes to Hollywood, guitarist, Brian Nash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Nash
Context triple: [Frankie Goes to Hollywood, guitarist, Brian Nash]
  • A. Brian Nash chosen
    Brian Nash is an English guitarist best known as a member of the 1980s pop band Frankie Goes to Hollywood.
  • B. Ray Nitschke
    Ray Nitschke was a legendary middle linebacker for the Green Bay Packers, renowned for his hard-hitting play and key role in Vince Lombardi’s championship teams.
  • C. Kevin Nagle
    Kevin Nagle is an American businessman and sports investor best known for leading the ownership of Sacramento Republic FC and advocating for Major League Soccer expansion in Sacramento.
  • D. Kevin Chapman
    Kevin Chapman is an American actor known for his tough, blue-collar character roles in film and television, including prominent parts in series like "Person of Interest" and "City on a Hill."
  • E. John Bowers
    John Bowers is a prominent American engineer and physicist renowned for his pioneering contributions to photonics and optoelectronics, particularly in the development of high-speed and energy-efficient optical communication technologies.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a6537e0819082b966023e0c0583 completed March 5, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3a390bc8190891ebd5d8a48d818 completed March 9, 2026, 11:48 a.m.
Created at: March 4, 2026, 7:29 p.m.