Triple

T15024763
Position Surface form Disambiguated ID Type / Status
Subject Dennis Seidenberg E378180 entity
Predicate name P16 FINISHED
Object Dennis Seidenberg E378180 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: Dennis Seidenberg | Statement: [Dennis Seidenberg, name, Dennis Seidenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dennis Seidenberg
Context triple: [Dennis Seidenberg, name, Dennis Seidenberg]
  • A. Dennis Seidenberg chosen
    Dennis Seidenberg is a German former professional ice hockey defenseman best known for his long NHL career and winning the Stanley Cup with the Boston Bruins in 2011.
  • B. Duane Schuler
    Duane Schuler is an American theatrical lighting designer known for his work in opera, including major productions at leading opera houses.
  • C. Bob Suter
    Bob Suter was an American defenseman best known as a member of the "Miracle on Ice" 1980 U.S. Olympic hockey team and later a prominent youth hockey coach and scout.
  • D. Phil Dusenberry
    Phil Dusenberry was an influential American advertising executive and creative director, best known for his groundbreaking work at BBDO and for shaping major campaigns for brands like Pepsi.
  • E. Wayne Chrebet
    Wayne Chrebet is a former NFL wide receiver best known for his productive career with the New York Jets as an undersized but clutch possession receiver.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7de117c8190a1b9fa8d1602057e completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ec12de8819097cd83530e54f54b completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 2:56 a.m.