Triple

T15628418
Position Surface form Disambiguated ID Type / Status
Subject Men E375744 entity
Predicate musicBy P1952 FINISHED
Object Ben Salisbury E375718 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: Ben Salisbury | Statement: [Men, musicBy, Ben Salisbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Salisbury
Context triple: [Men, musicBy, Ben Salisbury]
  • A. Ben Salisbury chosen
    Ben Salisbury is a British composer best known for his atmospheric film and television scores, including frequent collaborations with director Alex Garland.
  • B. Phil Beauman
    Phil Beauman is an American comedy writer and producer best known for his work on parody films and television, including contributions to the hit spoof franchise "Scary Movie."
  • C. Michael Barnett
    Michael Barnett is an international relations scholar known for his work on global governance, humanitarianism, and international organizations.
  • D. Ben Smith
    Ben Smith is an American professional ice hockey forward and NCAA champion who played college hockey at Boston College before going on to an NHL career.
  • E. Ben Smith
    Ben Smith is an American ice hockey coach best known for leading the U.S. women’s national team to its first Olympic gold medal in 1998 and for his long, influential career in international women’s hockey.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb4301881908c7157227fdf79b6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678c9d8c8190be73b6e7ed558e99 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:14 a.m.