Triple

T14623160
Position Surface form Disambiguated ID Type / Status
Subject Time of My Life E343274 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: [Time of My Life, producer, Howard Benson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Benson
Context triple: [Time of My Life, 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. Wilson Benge
    Wilson Benge was a British character actor, often cast as butlers or servants, who appeared in numerous Hollywood films during the early 20th century.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb468acc4819083b7e818d5cec809 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9288e748190bf65a01803265a73 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.