Triple

T11760871
Position Surface form Disambiguated ID Type / Status
Subject LaserDisc E279651 entity
Predicate developedBy P73 FINISHED
Object MCA E85483 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: MCA | Statement: [LaserDisc, developedBy, MCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MCA
Context triple: [LaserDisc, developedBy, MCA]
  • A. MCA chosen
    MCA was a major American record label and entertainment company known for signing prominent artists and producing a wide range of popular music releases.
  • B. MCA
    MCA is the UK government executive agency responsible for maritime safety, search and rescue coordination, and preventing pollution from ships in UK waters.
  • C. MCA
    MCA is a prominent Algerian football club based in Algiers, officially known as Mouloudia Club d'Alger.
  • D. MCA
    MCA is a postgraduate professional degree in computer applications that focuses on advanced software development, programming, and IT skills.
  • E. MCA
    MCA is the national regulatory authority overseeing electronic communications, eCommerce, and postal services in Malta.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a4be7c481908deab31f2ee20e0c completed April 28, 2026, 2:24 a.m.
Created at: April 8, 2026, 9:41 p.m.