Triple

T15165042
Position Surface form Disambiguated ID Type / Status
Subject Mother Twilight E362314 entity
Predicate hasTrack P3284 FINISHED
Object Old and Light
"Old and Light" is a track from the album *Mother Twilight*, likely contributing to its atmospheric, introspective musical style.
E1142434 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: Old and Light | Statement: [Mother Twilight, hasTrack, Old and Light]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old and Light
Context triple: [Mother Twilight, hasTrack, Old and Light]
  • A. Old and New
    Old and New is the alternate title of Sergei Eisenstein’s 1929 Soviet silent film "The General Line," which depicts the collectivization of agriculture in a Russian village.
  • B. Old to Begin
    "Old to Begin" is a song by the American indie rock band Pavement from their 1997 album "Brighten the Corners."
  • C. Just Older
    "Just Older" is a rock song by Bon Jovi from their 2000 album "Crush," reflecting on aging and maturity with a nostalgic yet upbeat tone.
  • D. Old Fangs
    Old Fangs is a track by the Canadian post-rock band Black Mountain, known for its heavy, psychedelic rock sound.
  • E. Olden
    Olden is a surname most notably associated with Charles Smith Olden, a 19th-century American politician who served as Governor of New Jersey.
  • 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: Old and Light
Triple: [Mother Twilight, hasTrack, Old and Light]
Generated description
"Old and Light" is a track from the album *Mother Twilight*, likely contributing to its atmospheric, introspective musical style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Old and Light
Target entity description: "Old and Light" is a track from the album *Mother Twilight*, likely contributing to its atmospheric, introspective musical style.
  • A. Old and New
    Old and New is the alternate title of Sergei Eisenstein’s 1929 Soviet silent film "The General Line," which depicts the collectivization of agriculture in a Russian village.
  • B. Old to Begin
    "Old to Begin" is a song by the American indie rock band Pavement from their 1997 album "Brighten the Corners."
  • C. Just Older
    "Just Older" is a rock song by Bon Jovi from their 2000 album "Crush," reflecting on aging and maturity with a nostalgic yet upbeat tone.
  • D. Old Fangs
    Old Fangs is a track by the Canadian post-rock band Black Mountain, known for its heavy, psychedelic rock sound.
  • E. Olden
    Olden is a surname most notably associated with Charles Smith Olden, a 19th-century American politician who served as Governor of New Jersey.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064c6244819085daf8e1eafdf3f2 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec885d68c8190999529b69bc34fec completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fec93109c08190a3499e4520e31604 completed May 9, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_69fecc6fa8f88190aa6956e6e2b1f8ab completed May 9, 2026, 5:55 a.m.
Created at: April 10, 2026, 3:08 a.m.