Triple

T21661514
Position Surface form Disambiguated ID Type / Status
Subject Got to Be Tough E534605 entity
Predicate hasPart P35 FINISHED
Object Warning Warning
Warning Warning is a track by the legendary Jamaican reggae band Toots and the Maytals, featured on their late-career album "Got to Be Tough."
 E1495592 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: Warning Warning | Statement: [Got to Be Tough, hasPart, Warning Warning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Warning Warning
Context triple: [Got to Be Tough, hasPart, Warning Warning]
  • A. Warning
    "Warning" is a 2000 studio album by American punk rock band Green Day that marked a stylistic shift toward more acoustic and pop-influenced sounds.
  • B. Warning
    Warning was a top-class British Thoroughbred racehorse of the late 1980s, best known as one of Europe’s leading milers.
  • C. Warning
    "Warning" is a 1994 storytelling-driven hip-hop track by The Notorious B.I.G. that showcases his vivid narrative style and gritty depiction of street life.
  • D. Warning
    "Warning" is a prominent track by British rapper Bugzy Malone that helped establish his reputation in the UK grime scene.
  • E. Fair Warning
    Fair Warning is a crime thriller novel by Michael Connelly featuring journalist Jack McEvoy investigating a serial killer who targets victims through genetic data.
  • 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: Warning Warning
Triple: [Got to Be Tough, hasPart, Warning Warning]
Generated description
Warning Warning is a track by the legendary Jamaican reggae band Toots and the Maytals, featured on their late-career album "Got to Be Tough."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Warning Warning
Target entity description: Warning Warning is a track by the legendary Jamaican reggae band Toots and the Maytals, featured on their late-career album "Got to Be Tough."
  • A. Warning
    "Warning" is a 2000 studio album by American punk rock band Green Day that marked a stylistic shift toward more acoustic and pop-influenced sounds.
  • B. Warning
    Warning was a top-class British Thoroughbred racehorse of the late 1980s, best known as one of Europe’s leading milers.
  • C. Warning
    "Warning" is a 1994 storytelling-driven hip-hop track by The Notorious B.I.G. that showcases his vivid narrative style and gritty depiction of street life.
  • D. Warning
    "Warning" is a prominent track by British rapper Bugzy Malone that helped establish his reputation in the UK grime scene.
  • E. Fair Warning
    Fair Warning is a crime thriller novel by Michael Connelly featuring journalist Jack McEvoy investigating a serial killer who targets victims through genetic data.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0883d481908dfdc66832c34d74 completed April 27, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a159c33788190bf71df313526b663 completed May 17, 2026, 7:23 p.m.
NEDg Description generation batch_6a0a16c278188190855335930666cede completed May 17, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_6a0a17a2c81481908e229ea58e61843e completed May 17, 2026, 7:31 p.m.
Created at: April 16, 2026, 6:36 p.m.