Triple

T894273
Position Surface form Disambiguated ID Type / Status
Subject Dallas E19307 entity
Predicate hasSuccessor P78 FINISHED
Object Cranch
Cranch is a United States Supreme Court reporter known for compiling and publishing early 19th-century decisions of the Court.
 E4578 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: Cranch | Statement: [Dallas, hasSuccessor, Cranch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cranch
Context triple: [Dallas, hasSuccessor, Cranch]
  • A. Cranch
    Cranch refers to the early U.S. Supreme Court case reports compiled by William Cranch, which form part of the nominative reports later integrated into the United States Reports.
  • B. Fletcher
    Fletcher is a surname of English origin borne by numerous notable individuals across fields such as the military, politics, arts, and sports.
  • C. Dorado
    Dorado is a coastal municipality in northern Puerto Rico known for its upscale resorts, golf courses, and residential communities.
  • D. Seabreeze
    Seabreeze was a former neighboring city to Daytona Beach, Florida, that was eventually incorporated into the larger Daytona Beach municipality.
  • E. Cabell
    Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
  • 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: Cranch
Triple: [Dallas, hasSuccessor, Cranch]
Generated description
Cranch is a United States Supreme Court reporter known for compiling and publishing early 19th-century decisions of the Court.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cranch
Target entity description: Cranch is a United States Supreme Court reporter known for compiling and publishing early 19th-century decisions of the Court.
  • A. Cranch chosen
    Cranch refers to the early U.S. Supreme Court case reports compiled by William Cranch, which form part of the nominative reports later integrated into the United States Reports.
  • B. Fletcher
    Fletcher is a surname of English origin borne by numerous notable individuals across fields such as the military, politics, arts, and sports.
  • C. Dorado
    Dorado is a coastal municipality in northern Puerto Rico known for its upscale resorts, golf courses, and residential communities.
  • D. Seabreeze
    Seabreeze was a former neighboring city to Daytona Beach, Florida, that was eventually incorporated into the larger Daytona Beach municipality.
  • E. Cabell
    Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
  • F. None of above.

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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad22b6fc819093e655c8ce1f738b completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c02772208190ac86dd885728e89c completed March 4, 2026, 5:16 a.m.
NEDg Description generation batch_69a7c2f036548190bc018c0cbe02d0ca completed March 4, 2026, 5:28 a.m.
NED2 Entity disambiguation (via description) batch_69a7c38925b481909133a1b098b08fa9 completed March 4, 2026, 5:30 a.m.
Created at: March 1, 2026, 7:39 p.m.