Triple

T16677470
Position Surface form Disambiguated ID Type / Status
Subject Under Your Skin E405249 entity
Predicate producer P490 FINISHED
Object Howard Benson E635841 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: Howard Benson | Statement: [Under Your Skin, producer, Howard Benson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Benson
Context triple: [Under Your Skin, producer, Howard Benson]
  • A. Howard Benson chosen
    Howard Benson is a Grammy-nominated American record producer known for his work with prominent rock and pop artists such as My Chemical Romance, Daughtry, and Kelly Clarkson.
  • B. Chris Benson
    Chris Benson is an actor known for his role in the romantic sports film "The Cutting Edge."
  • C. Stephen Allen Benson
    Stephen Allen Benson was the second president of Liberia, serving from 1856 to 1864 and helping to consolidate the young republic’s political and economic foundations.
  • D. Richard C. Benson
    Richard C. Benson is an American engineer and academic leader who has served as president of the University of Texas at Dallas.
  • E. Erik Benson
    Erik Benson is a screenwriter best known for co-writing the story for Pixar's animated film "The Good Dinosaur."
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6c805c81909fbe4fcb20eedbe1 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3c79888190b6ddd55b91d97183 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.