Triple

T19916295
Position Surface form Disambiguated ID Type / Status
Subject Scheherazade.2 E478672 entity
Predicate premiereConductor P4736 FINISHED
Object David Robertson NE NERFINISHED

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: David Robertson | Statement: [Scheherazade.2, premiereConductor, David Robertson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Robertson
Context triple: [Scheherazade.2, premiereConductor, David Robertson]
  • A. David Robertson chosen
    David Robertson is an American conductor renowned for his innovative programming and leadership of major orchestras and contemporary music ensembles.
  • B. Tyler Johnson
    Tyler Johnson is an actor known for his role in the romantic comedy film "The Matchmaker’s Playbook."
  • C. Tyler Johnson
    Tyler Johnson is an actor known for his role in the romantic drama film "Afterburn/Aftershock."
  • D. Tyler Johnson
    Tyler Johnson is an American songwriter and producer known for his work on major pop hits, including co-writing Harry Styles’ “Watermelon Sugar.”
  • E. Tyler Johnson
    Tyler Johnson is an American professional ice hockey center known for his successful NHL career, including winning the Stanley Cup with the Tampa Bay Lightning.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65994f4608190b79771ddea1040f5 completed April 20, 2026, 4:51 p.m.
Created at: April 10, 2026, 1:53 p.m.