Triple

T16679567
Position Surface form Disambiguated ID Type / Status
Subject Tom Chaplin E405302 entity
Predicate notableSong P4 FINISHED
Object Quicksand
"Quicksand" is a song by English singer-songwriter Tom Chaplin, known for its melodic pop style and introspective lyrics.
E1228192 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: [Tom Chaplin, notableSong, Quicksand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quicksand
Context triple: [Tom Chaplin, notableSong, Quicksand]
  • A. 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.
  • B. 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.
  • C. Quicksand
    Quicksand is an influential American post-hardcore band known for its heavy, melodic sound and role in shaping 1990s alternative rock.
  • D. Quicksand
    Quicksand is a song by Icelandic musician Björk from her emotionally charged 2015 album "Vulnicura."
  • E. Quicksand
    Quicksand is a 1928 novel by Japanese author Junichiro Tanizaki that explores obsessive love, jealousy, and manipulation in a complex same-sex relationship.
  • 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: [Tom Chaplin, notableSong, Quicksand]
Generated description
"Quicksand" is a song by English singer-songwriter Tom Chaplin, known for its melodic pop style and introspective lyrics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Quicksand
Target entity description: "Quicksand" is a song by English singer-songwriter Tom Chaplin, known for its melodic pop style and introspective lyrics.
  • A. 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.
  • B. 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.
  • C. Quicksand
    Quicksand is an influential American post-hardcore band known for its heavy, melodic sound and role in shaping 1990s alternative rock.
  • D. Quicksand
    Quicksand is a song by Icelandic musician Björk from her emotionally charged 2015 album "Vulnicura."
  • E. Quicksand
    Quicksand is a 1928 novel by Japanese author Junichiro Tanizaki that explores obsessive love, jealousy, and manipulation in a complex same-sex relationship.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6e74ec81909ea95c3e4b0113ab completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3e2ddc8190a59108cdf001dac2 completed May 10, 2026, 1:38 p.m.
NEDg Description generation batch_6a008b600e5c819084795fee911b0716 completed May 10, 2026, 1:42 p.m.
NED2 Entity disambiguation (via description) batch_6a008bee78248190b920d780bcbd3032 completed May 10, 2026, 1:45 p.m.
Created at: April 10, 2026, 5:19 a.m.