Triple

T14658679
Position Surface form Disambiguated ID Type / Status
Subject How Will the Wolf Survive? E344177 entity
Predicate hasPart P35 FINISHED
Object Evangeline
"Evangeline" is a song by Los Lobos featured on their acclaimed 1984 album *How Will the Wolf Survive?*
 E1112238 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: Evangeline | Statement: [How Will the Wolf Survive?, hasPart, Evangeline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Evangeline
Context triple: [How Will the Wolf Survive?, hasPart, Evangeline]
  • A. Evangeline
    Evangeline is a narrative poem by Henry Wadsworth Longfellow that tells the tragic story of an Acadian girl's lifelong search for her lost love amid the Great Upheaval.
  • B. Evangeline
    Evangeline is a narrative work—likely a fantasy or historical fiction story—that features the character Basil the blacksmith.
  • C. Evangeline
    Evangeline is a fictional universe centered on the character Benedict Bellefontaine, likely featuring his adventures, relationships, and the world that shapes his story.
  • D. Evangeline
    Evangeline is a music producer known for contributing to the collaborative hip-hop project Kids See Ghosts by Kanye West and Kid Cudi.
  • E. Evangeline
    Evangeline is a feminine given name of Greek origin meaning "bearer of good news," often associated with literary and poetic usage.
  • 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: Evangeline
Triple: [How Will the Wolf Survive?, hasPart, Evangeline]
Generated description
"Evangeline" is a song by Los Lobos featured on their acclaimed 1984 album *How Will the Wolf Survive?*
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Evangeline
Target entity description: "Evangeline" is a song by Los Lobos featured on their acclaimed 1984 album *How Will the Wolf Survive?*
  • A. Evangeline
    Evangeline is a narrative poem by Henry Wadsworth Longfellow that tells the tragic story of an Acadian girl's lifelong search for her lost love amid the Great Upheaval.
  • B. Evangeline
    Evangeline is a music producer known for contributing to the collaborative hip-hop project Kids See Ghosts by Kanye West and Kid Cudi.
  • C. Evangeline
    Evangeline is a narrative work—likely a fantasy or historical fiction story—that features the character Basil the blacksmith.
  • D. Evangeline
    Evangeline is a fictional universe centered on the character Benedict Bellefontaine, likely featuring his adventures, relationships, and the world that shapes his story.
  • E. Evangeline
    Evangeline is a feminine given name of Greek origin meaning "bearer of good news," often associated with literary and poetic usage.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e01cd081909c71fdcf67c3b1f5 completed May 8, 2026, 12:24 p.m.
NEDg Description generation batch_69fdd65a6c24819088fb18ffcdfe6404 completed May 8, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_69fdd6f172288190ba7097518b1a971e completed May 8, 2026, 12:28 p.m.
Created at: April 10, 2026, 1:27 a.m.