Triple

T8988799
Position Surface form Disambiguated ID Type / Status
Subject So Help Me God! E214734 entity
Predicate hasTrack P3284 FINISHED
Object Ziploc
"Ziploc" is a song by American rapper 2 Chainz from his album *So Help Me God!* that showcases his signature trap style and wordplay.
 E772079 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: Ziploc | Statement: [So Help Me God!, hasTrack, Ziploc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ziploc
Context triple: [So Help Me God!, hasTrack, Ziploc]
  • A. ZIPLO
    ZIPLO is an industrial and business zone located in the municipality of Plan-les-Ouates in the canton of Geneva, Switzerland.
  • B. Zips
    Zips is the nickname for the University of Akron's athletic teams, most prominently used for its NCAA Division I football program.
  • C. Zipper
    Zipper was the codename for a planned British amphibious operation to recapture Malaya from Japanese control near the end of World War II.
  • D. Ultrawrap
    Ultrawrap is an Ontology-Based Data Access (OBDA) system that enables querying relational databases through an ontology-driven, semantic layer.
  • E. Tupper
    Tupper is a surname of English and Scottish origin borne by various notable individuals across fields such as politics, literature, and the arts.
  • 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: Ziploc
Triple: [So Help Me God!, hasTrack, Ziploc]
Generated description
"Ziploc" is a song by American rapper 2 Chainz from his album *So Help Me God!* that showcases his signature trap style and wordplay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ziploc
Target entity description: "Ziploc" is a song by American rapper 2 Chainz from his album *So Help Me God!* that showcases his signature trap style and wordplay.
  • A. ZIPLO
    ZIPLO is an industrial and business zone located in the municipality of Plan-les-Ouates in the canton of Geneva, Switzerland.
  • B. Zips
    Zips is the nickname for the University of Akron's athletic teams, most prominently used for its NCAA Division I football program.
  • C. Zipper
    Zipper was the codename for a planned British amphibious operation to recapture Malaya from Japanese control near the end of World War II.
  • D. Ultrawrap
    Ultrawrap is an Ontology-Based Data Access (OBDA) system that enables querying relational databases through an ontology-driven, semantic layer.
  • E. Tupper
    Tupper is a surname of English and Scottish origin borne by various notable individuals across fields such as politics, literature, and the arts.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67f0fed8819098ef3c88f9ef8045 completed April 1, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0c58c94819095979b82a50cb77d completed April 3, 2026, 2:37 p.m.
NEDg Description generation batch_69cfd1a32a64819090d423a99ab75362 completed April 3, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfd250593881908312200ba7bba617 completed April 3, 2026, 2:44 p.m.
Created at: March 30, 2026, 7:04 p.m.