Triple

T15840769
Position Surface form Disambiguated ID Type / Status
Subject Mark Adams E384094 entity
Predicate employer P7 FINISHED
Object Opel E29685 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: Opel | Statement: [Mark Adams, employer, Opel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opel
Context triple: [Mark Adams, employer, Opel]
  • A. Opel chosen
    Opel is a German automobile manufacturer known for producing a wide range of passenger cars and light commercial vehicles for the European market.
  • B. Vauxhall
    Vauxhall is a long-established British automobile manufacturer known for producing a wide range of passenger cars and light commercial vehicles.
  • C. Vauxhall
    Vauxhall is a central London parliamentary constituency and district on the south bank of the River Thames, known for its transport hub, riverside developments, and diverse urban character.
  • D. Opel family
    The Opel family is a prominent German industrial dynasty best known for founding and developing the Opel automobile manufacturing company.
  • E. Opel Kadett
    The Opel Kadett is a long-running compact car model produced by German automaker Opel, known for its popularity in Europe from the 1930s through the 1990s and as the predecessor to the Opel Astra.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e764088190afba6c5c1acf8199 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13c931481908ed9fd10fddd867c completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:50 a.m.