Triple

T9681509
Position Surface form Disambiguated ID Type / Status
Subject Fumbling Towards Ecstasy E234291 entity
Predicate hasTrack P3284 FINISHED
Object Ice
"Ice" is a song by Canadian singer-songwriter Sarah McLachlan from her acclaimed 1993 album *Fumbling Towards Ecstasy*.
 E814070 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: Ice | Statement: [Fumbling Towards Ecstasy, hasTrack, Ice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ice
Context triple: [Fumbling Towards Ecstasy, hasTrack, Ice]
  • A. ICE
    ICE is a U.S. federal agency under the Department of Homeland Security responsible for enforcing immigration laws and investigating customs, border, and national security-related offenses.
  • B. ICE
    ICE is Emirates’ award-winning in-flight entertainment system offering a wide range of movies, TV, music, and information services to passengers.
  • C. ICE
    ICE is a leading professional association and learned society that supports and regulates civil engineers, primarily in the United Kingdom but with a global membership.
  • D. ICE
    ICE is a research institute at Johns Hopkins University focused on advancing the understanding and engineering of cells for biomedical applications.
  • E. ICE
    ICE is a high-speed international train service operated by Deutsche Bahn that connects major cities across Germany and neighboring countries, including routes through Brussels.
  • 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: Ice
Triple: [Fumbling Towards Ecstasy, hasTrack, Ice]
Generated description
"Ice" is a song by Canadian singer-songwriter Sarah McLachlan from her acclaimed 1993 album *Fumbling Towards Ecstasy*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ice
Target entity description: "Ice" is a song by Canadian singer-songwriter Sarah McLachlan from her acclaimed 1993 album *Fumbling Towards Ecstasy*.
  • A. ICE
    ICE is a U.S. federal agency under the Department of Homeland Security responsible for enforcing immigration laws and investigating customs, border, and national security-related offenses.
  • B. ICE
    ICE is Emirates’ award-winning in-flight entertainment system offering a wide range of movies, TV, music, and information services to passengers.
  • C. ICE
    ICE is a high-speed international train service operated by Deutsche Bahn that connects major cities across Germany and neighboring countries, including routes through Brussels.
  • D. ICE
    ICE is a leading professional association and learned society that supports and regulates civil engineers, primarily in the United Kingdom but with a global membership.
  • E. ICE
    ICE (Interactive Connectivity Establishment) is a framework used in real-time communication systems to discover and negotiate network paths for peer-to-peer connections across NATs and firewalls.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c9fec1c8190b2626848cb2c1871 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a3d77c48190b7fcde4708ca3811 completed April 4, 2026, 10:01 p.m.
NEDg Description generation batch_69d18b471e9c8190ae939b79512faad5 completed April 4, 2026, 10:05 p.m.
NED2 Entity disambiguation (via description) batch_69d18bf1dad8819085714fe301431b30 completed April 4, 2026, 10:08 p.m.
Created at: March 30, 2026, 8:16 p.m.