Triple

T17245015
Position Surface form Disambiguated ID Type / Status
Subject La Roux E418599 entity
Predicate notableWork P4 FINISHED
Object Quicksand
"Quicksand" is a synth-pop song by English artist La Roux, known for its catchy electronic production and distinctive vocal style.
 E1259685 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: Quicksand | Statement: [La Roux, notableWork, Quicksand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quicksand
Context triple: [La Roux, notableWork, Quicksand]
  • A. Quicksand
    "Quicksand" is a 1963 Motown soul single by Martha and the Vandellas, known for its driving beat and passionate vocals characteristic of the group's early hits.
  • B. Quicksand
    Quicksand is an influential American post-hardcore band known for its heavy, melodic sound and role in shaping 1990s alternative rock.
  • C. Quicksand
    Quicksand is a song by Icelandic musician Björk from her emotionally charged 2015 album "Vulnicura."
  • D. Quicksand
    Quicksand is a 1928 novel by Japanese author Junichiro Tanizaki that explores obsessive love, jealousy, and manipulation in a complex same-sex relationship.
  • E. Quicksand
    "Quicksand" is a song by English singer-songwriter Tom Chaplin, known for its melodic pop style and introspective lyrics.
  • 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: Quicksand
Triple: [La Roux, notableWork, Quicksand]
Generated description
"Quicksand" is a synth-pop song by English artist La Roux, known for its catchy electronic production and distinctive vocal style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Quicksand
Target entity description: "Quicksand" is a synth-pop song by English artist La Roux, known for its catchy electronic production and distinctive vocal style.
  • A. Quicksand
    "Quicksand" is a song by English singer-songwriter Tom Chaplin, known for its melodic pop style and introspective lyrics.
  • B. Quicksand
    Quicksand is a song by Icelandic musician Björk from her emotionally charged 2015 album "Vulnicura."
  • C. Quicksand
    "Quicksand" is a 1963 Motown soul single by Martha and the Vandellas, known for its driving beat and passionate vocals characteristic of the group's early hits.
  • D. Quicksand
    Quicksand is an influential American post-hardcore band known for its heavy, melodic sound and role in shaping 1990s alternative rock.
  • E. Quicksand
    "Quicksand" is a 1928 novel by Nella Larsen that explores race, identity, and gender through the experiences of a mixed-race woman navigating Black and white societies in the early 20th-century United States and Denmark.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e22fb2c8190aea5d3872095bf46 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f5582c81908efb7a369a096aeb completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a017351db88819097bfbec41920a488 completed May 11, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0175f8c7d48190896f375385829a34 completed May 11, 2026, 6:23 a.m.
Created at: April 10, 2026, 5:39 a.m.