Triple

T2240716
Position Surface form Disambiguated ID Type / Status
Subject Nick Hornby E49388 entity
Predicate wrote P2831 FINISHED
Object 31 Songs
31 Songs is a non-fiction book by Nick Hornby in which he reflects on his life and emotions through essays about 31 of his favorite songs.
E246779 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: 31 Songs | Statement: [Nick Hornby, wrote, 31 Songs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 31 Songs
Context triple: [Nick Hornby, wrote, 31 Songs]
  • A. One Song
    "One Song" is a romantic ballad sung by the Prince in Disney's 1937 animated film Snow White and the Seven Dwarfs.
  • B. Song to Song
    Song to Song is a 2017 experimental romantic drama film directed by Terrence Malick, known for its impressionistic narrative, Austin music-scene setting, and fluid, visually striking cinematography.
  • C. A Song
    "A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
  • D. The Album
    The Album is a painting by French Post-Impressionist artist Édouard Vuillard, known for its intimate domestic interior and subtle, decorative use of color and pattern.
  • E. The Album
    The Album is a 1977 studio record by Swedish pop group ABBA that features hits like "Take a Chance on Me" and showcases the band at the height of their international success.
  • 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: 31 Songs
Triple: [Nick Hornby, wrote, 31 Songs]
Generated description
31 Songs is a non-fiction book by Nick Hornby in which he reflects on his life and emotions through essays about 31 of his favorite songs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 31 Songs
Target entity description: 31 Songs is a non-fiction book by Nick Hornby in which he reflects on his life and emotions through essays about 31 of his favorite songs.
  • A. One Song
    "One Song" is a romantic ballad sung by the Prince in Disney's 1937 animated film Snow White and the Seven Dwarfs.
  • B. Song to Song
    Song to Song is a 2017 experimental romantic drama film directed by Terrence Malick, known for its impressionistic narrative, Austin music-scene setting, and fluid, visually striking cinematography.
  • C. A Song
    "A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
  • D. The Album
    The Album is a 1977 studio record by Swedish pop group ABBA that features hits like "Take a Chance on Me" and showcases the band at the height of their international success.
  • E. The Album
    The Album is Teyana Taylor’s critically acclaimed 2020 R&B/hip-hop studio album known for its blend of soulful vocals, 1990s influences, and themes of love, motherhood, and empowerment.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0bccf688190bd10202a62fdf34e completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b0cb4f0819087061434d44dc3a3 completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6b9edb688190a4e6e4a4ddf964f3 completed March 9, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_69ae6bfbb6cc81909d647b3875450b4b completed March 9, 2026, 6:43 a.m.
Created at: March 4, 2026, 7:47 p.m.