Triple

T1477720
Position Surface form Disambiguated ID Type / Status
Subject Michael Jordan E30880 entity
Predicate nickname P55 FINISHED
Object MJ
MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
E169680 NE FINISHED

How this triple was built (4 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: [Michael Jordan, nickname, MJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MJ
Context triple: [Michael Jordan, nickname, MJ]
  • A. JM
    JM is the two-letter ISO 3166-1 alpha-2 country code assigned to Jamaica for international standardization and identification purposes.
  • B. MZ
    MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
  • C. MK
    MK is the two-letter ISO 3166-1 alpha-2 country code assigned to North Macedonia.
  • D. MW
    MW is the two-letter ISO 3166-1 alpha-2 country code assigned to Malawi.
  • E. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MJ
Triple: [Michael Jordan, nickname, MJ]
Generated description
MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MJ
Target entity description: MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
  • A. JM
    JM is the two-letter ISO 3166-1 alpha-2 country code assigned to Jamaica for international standardization and identification purposes.
  • B. MZ
    MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
  • C. MK
    MK is the two-letter ISO 3166-1 alpha-2 country code assigned to North Macedonia.
  • D. MW
    MW is the two-letter ISO 3166-1 alpha-2 country code assigned to Malawi.
  • E. M
    "M" is a 1951 American crime thriller film directed by Joseph Losey, adapted from Fritz Lang’s 1931 classic, in which David Wayne portrays a hunted child murderer.
  • F. None of above. chosen

Provenance (5 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c605d4c0819088ab06678b2ba6f3 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15add78c8190843efd75bbe8423f completed March 8, 2026, 6:22 a.m.
NEDg Description generation batch_69ad184626f48190a15ee8bb4f9f6f7c completed March 8, 2026, 6:33 a.m.
NED2 Entity disambiguation (via description) batch_69ad18dca6b48190a63b67a7823611c8 completed March 8, 2026, 6:36 a.m.
Created at: March 1, 2026, 8:11 p.m.