Triple

T17185942
Position Surface form Disambiguated ID Type / Status
Subject Long Division E417108 entity
Predicate hasTrack P3284 FINISHED
Object See-Through
"See-Through" is a song by the American rock band Long Division.
E1256360 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: See-Through | Statement: [Long Division, hasTrack, See-Through]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: See-Through
Context triple: [Long Division, hasTrack, See-Through]
  • A. Shining Through
    Shining Through is a 1992 World War II romantic thriller film starring Michael Douglas and Melanie Griffith, centered on an American woman who becomes a spy behind enemy lines in Nazi Germany.
  • B. Behind Those Eyes
    "Behind Those Eyes" is a rock song by the American band 3 Doors Down from their 2005 album *Seventeen Days*.
  • C. Seen and Not Seen
    "Seen and Not Seen" is a track by the American new wave band Talking Heads from their acclaimed 1980 album "Remain in Light."
  • D. Behind the Eyes
    Behind the Eyes is a 1997 studio album by contemporary Christian and pop singer Amy Grant, noted for its introspective, adult contemporary sound and personal lyrical themes.
  • E. On Sight
    "On Sight" is the abrasive, electronic-influenced opening track from Kanye West's 2013 album *Yeezus*, known for its distorted production and confrontational tone.
  • 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: See-Through
Triple: [Long Division, hasTrack, See-Through]
Generated description
"See-Through" is a song by the American rock band Long Division.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: See-Through
Target entity description: "See-Through" is a song by the American rock band Long Division.
  • A. Shining Through
    Shining Through is a 1992 World War II romantic thriller film starring Michael Douglas and Melanie Griffith, centered on an American woman who becomes a spy behind enemy lines in Nazi Germany.
  • B. Behind Those Eyes
    "Behind Those Eyes" is a rock song by the American band 3 Doors Down from their 2005 album *Seventeen Days*.
  • C. Seen and Not Seen
    "Seen and Not Seen" is a track by the American new wave band Talking Heads from their acclaimed 1980 album "Remain in Light."
  • D. Behind the Eyes
    Behind the Eyes is a 1997 studio album by contemporary Christian and pop singer Amy Grant, noted for its introspective, adult contemporary sound and personal lyrical themes.
  • E. On Sight
    "On Sight" is the abrasive, electronic-influenced opening track from Kanye West's 2013 album *Yeezus*, known for its distorted production and confrontational tone.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d962b988190bdbba81ac63c7e6e completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fcc424081908a7e74df0523443e completed May 11, 2026, 4:49 a.m.
NEDg Description generation batch_6a016184e0c0819099320b32bc471cad completed May 11, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0162692420819097b99a71ec470861 completed May 11, 2026, 5 a.m.
Created at: April 10, 2026, 5:37 a.m.