Triple

T22649079
Position Surface form Disambiguated ID Type / Status
Subject Storms E559046 entity
Predicate follows P134 FINISHED
Object Little Love Affairs
Little Love Affairs is a 1988 country-folk album by American singer-songwriter Nanci Griffith, noted for its intimate storytelling and melodic, acoustic sound.
E1547565 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: Little Love Affairs | Statement: [Storms, follows, Little Love Affairs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Love Affairs
Context triple: [Storms, follows, Little Love Affairs]
  • A. The Love School
    The Love School is a British television drama series in which Ben Kingsley starred, exploring the lives and relationships of the Pre-Raphaelite artists.
  • B. Young Love
    Young Love is an American electronic rock band known for its danceable, synth-driven sound and emotionally charged lyrics.
  • C. Young Love
    "Young Love" is a popular 1956 pop ballad best known for its chart-topping recording by American actor and singer Tab Hunter.
  • D. Little Favours
    Little Favours is a song by Scottish singer-songwriter KT Tunstall from her album "Drastic Fantastic."
  • E. Love and Learn
    Love and Learn is a 1947 American romantic comedy film produced by Warner Bros.
  • 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: Little Love Affairs
Triple: [Storms, follows, Little Love Affairs]
Generated description
Little Love Affairs is a 1988 country-folk album by American singer-songwriter Nanci Griffith, noted for its intimate storytelling and melodic, acoustic sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Little Love Affairs
Target entity description: Little Love Affairs is a 1988 country-folk album by American singer-songwriter Nanci Griffith, noted for its intimate storytelling and melodic, acoustic sound.
  • A. The Love School
    The Love School is a British television drama series in which Ben Kingsley starred, exploring the lives and relationships of the Pre-Raphaelite artists.
  • B. Young Love
    Young Love is an American electronic rock band known for its danceable, synth-driven sound and emotionally charged lyrics.
  • C. Young Love
    "Young Love" is a popular 1956 pop ballad best known for its chart-topping recording by American actor and singer Tab Hunter.
  • D. Little Favours
    Little Favours is a song by Scottish singer-songwriter KT Tunstall from her album "Drastic Fantastic."
  • E. Love and Learn
    Love and Learn is a 1947 American romantic comedy film produced by Warner Bros.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703a84b081909a683f8c850dcbf9 completed April 29, 2026, 2:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b586439c8819080fd72080de21277 completed May 18, 2026, 6:20 p.m.
NEDg Description generation batch_6a0b6f5e95ec81909197b2dbca88d7df completed May 18, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0b7032e5f48190ada4ef53a71716a6 completed May 18, 2026, 8:01 p.m.
Created at: April 17, 2026, 3:05 p.m.