Triple

T5143162
Position Surface form Disambiguated ID Type / Status
Subject Conrad Buff IV E116007 entity
Predicate name P16 FINISHED
Object Conrad Buff IV E116007 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: Conrad Buff IV | Statement: [Conrad Buff IV, name, Conrad Buff IV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conrad Buff IV
Context triple: [Conrad Buff IV, name, Conrad Buff IV]
  • A. Conrad Buff IV chosen
    Conrad Buff IV is an American film editor known for his work on major Hollywood productions, including blockbusters like "Terminator Salvation."
  • B. Conrad Roberts
    Conrad Roberts is a Caribbean-born American actor known for his character roles in films and television, including a notable appearance in the horror film "The Serpent and the Rainbow."
  • C. Conrad Vig
    Conrad Vig is a dim-witted yet loyal and darkly comedic U.S. soldier portrayed by Spike Jonze in the 1999 Gulf War film "Three Kings."
  • D. Conrad Sewell
    Conrad Sewell is an Australian singer-songwriter known for his soulful pop vocals and collaborations on international hits.
  • E. Conrad Will
    Conrad Will was an early 19th-century American pioneer, politician, and businessman in Illinois, recognized as a prominent figure in the state's formative years.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7883004881909c763da818d9b6e2 completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfec5c108190a3882c25118179a7 completed March 21, 2026, 5:05 p.m.
Created at: March 20, 2026, 1:43 p.m.