Triple

T14622586
Position Surface form Disambiguated ID Type / Status
Subject MJ E343260 entity
Predicate alias P39 FINISHED
Object MJ unclear NED1 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: MJ | Statement: [MJ, alias, MJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MJ
Context triple: [MJ, alias, MJ]
  • A. MJ
    MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
  • B. MJ
    MJ is a reimagined version of the Mary Jane Watson character who appears as Peter Parker’s sharp, observant classmate and love interest in the Marvel Cinematic Universe Spider-Man films.
  • C. MJ
    MJ is a Master of Jurisprudence graduate law degree designed for non-lawyers seeking advanced legal knowledge in a specific field.
  • D. JM
    JM is the two-letter ISO 3166-1 alpha-2 country code assigned to Jamaica for international standardization and identification purposes.
  • E. MZ
    MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69deb466a61c81908a110d40fb959b6f 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, 1:25 a.m.