Triple

T16203817
Position Surface form Disambiguated ID Type / Status
Subject Michigan Appellate Reports E393268 entity
Predicate abbreviation P43 FINISHED
Object Mich App
Mich App is the standard legal citation abbreviation for the Michigan Appellate Reports, which publish decisions of the Michigan Court of Appeals.
E1198784 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: Mich App | Statement: [Michigan Appellate Reports, abbreviation, Mich App]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mich App
Context triple: [Michigan Appellate Reports, abbreviation, Mich App]
  • A. Applegate
    Applegate is the surname of American actress Christina Applegate, known for her roles in television and film.
  • B. Applegate
    Applegate is a natural and organic meat and cheese brand known for its minimally processed products and commitment to animal welfare.
  • C. Appar
    Appar was a prominent 7th-century Tamil Shaivite saint and poet whose devotional hymns greatly shaped the Bhakti movement in South India.
  • D. Tappin
    Tappin is a professional collaborator or business partner associated with Joseph Reed.
  • E. APPA
    APPA is the abbreviation for the American Public Power Association, a national organization representing community-owned electric utilities in the United States.
  • 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: Mich App
Triple: [Michigan Appellate Reports, abbreviation, Mich App]
Generated description
Mich App is the standard legal citation abbreviation for the Michigan Appellate Reports, which publish decisions of the Michigan Court of Appeals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mich App
Target entity description: Mich App is the standard legal citation abbreviation for the Michigan Appellate Reports, which publish decisions of the Michigan Court of Appeals.
  • A. Applegate
    Applegate is the surname of American actress Christina Applegate, known for her roles in television and film.
  • B. Applegate
    Applegate is a natural and organic meat and cheese brand known for its minimally processed products and commitment to animal welfare.
  • C. Appar
    Appar was a prominent 7th-century Tamil Shaivite saint and poet whose devotional hymns greatly shaped the Bhakti movement in South India.
  • D. Tappin
    Tappin is a professional collaborator or business partner associated with Joseph Reed.
  • E. APPA
    APPA is the abbreviation for the American Public Power Association, a national organization representing community-owned electric utilities in the United States.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2270ca18c8190a259992aed4ec072 completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff14b0988190bb4128b2e02aee32 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a00003d347481908285b2253fd20ac1 completed May 10, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0000adc1b08190abbafcabb4ebc079 completed May 10, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:03 a.m.