Triple

T15259110
Position Surface form Disambiguated ID Type / Status
Subject Natural History E364725 entity
Predicate hasTrack P3284 FINISHED
Object Road Dog
"Road Dog" is a song by the rock band Natural History.
 E1146990 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: Road Dog | Statement: [Natural History, hasTrack, Road Dog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Road Dog
Context triple: [Natural History, hasTrack, Road Dog]
  • A. Road Dogs
    Road Dogs is a crime novel by Elmore Leonard that follows the intersecting schemes and betrayals of ex-con Jack Foley and his associates after his release from prison.
  • B. Red Dog
    Red Dog is a 2011 Australian comedy-drama film based on the true story of a wandering kelpie that unites a remote mining community in Western Australia.
  • C. Red Dog
    "Red Dog" is a short story by Rudyard Kipling featuring Mowgli’s perilous battle against a deadly pack of dholes in the Indian jungle.
  • D. Mad Dogs
    Mad Dogs is a British dark comedy-drama television series about a group of middle-aged friends whose holiday in Spain spirals into crime and chaos.
  • E. Road-side Dog
    Road-side Dog is a collection of short, reflective prose pieces and aphorisms by Nobel Prize–winning Polish writer Czesław Miłosz, blending memoir, philosophy, and observation.
  • 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: Road Dog
Triple: [Natural History, hasTrack, Road Dog]
Generated description
"Road Dog" is a song by the rock band Natural History.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Road Dog
Target entity description: "Road Dog" is a song by the rock band Natural History.
  • A. Road Dogs
    Road Dogs is a crime novel by Elmore Leonard that follows the intersecting schemes and betrayals of ex-con Jack Foley and his associates after his release from prison.
  • B. Red Dog
    Red Dog is a 2011 Australian comedy-drama film based on the true story of a wandering kelpie that unites a remote mining community in Western Australia.
  • C. Red Dog
    "Red Dog" is a short story by Rudyard Kipling featuring Mowgli’s perilous battle against a deadly pack of dholes in the Indian jungle.
  • D. Mad Dogs
    Mad Dogs is a British dark comedy-drama television series about a group of middle-aged friends whose holiday in Spain spirals into crime and chaos.
  • E. Road-side Dog
    Road-side Dog is a collection of short, reflective prose pieces and aphorisms by Nobel Prize–winning Polish writer Czesław Miłosz, blending memoir, philosophy, and observation.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084d11148190919eef8e55569bb9 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f9a0708190bc429692788a63d7 completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee6b1a29481908c5c945ef801468d completed May 9, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69fee7b5e3f0819091246455e239996a completed May 9, 2026, 7:52 a.m.
Created at: April 10, 2026, 3:13 a.m.