Triple

T20624394
Position Surface form Disambiguated ID Type / Status
Subject Ghosts of Download E506778 entity
Predicate notableTrack P8087 FINISHED
Object Take Me in the Night
"Take Me in the Night" is a synth-driven electronic pop song by Blondie from their 2014 album *Ghosts of Download*.
 E1441894 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: Take Me in the Night | Statement: [Ghosts of Download, notableTrack, Take Me in the Night]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Take Me in the Night
Context triple: [Ghosts of Download, notableTrack, Take Me in the Night]
  • A. Take Me In
    "Take Me In" is a song by Dutch singer-songwriter Roel van Velzen, known for its melodic pop-rock style and emotive vocals.
  • B. You Can't Take Me
    "You Can't Take Me" is a country song recorded by the American duo Double Wide.
  • C. Take Me
    "Take Me" is a 2017 dark comedy film about a struggling entrepreneur who runs a simulated kidnapping service that spirals out of control when he takes on an unusually mysterious client.
  • D. Give Me the Night
    "Give Me the Night" is a 1980 jazz-funk and R&B hit song by George Benson, produced by Quincy Jones and widely regarded as one of his signature tracks.
  • E. On the Night
    On the Night is a live album by British rock band Dire Straits, capturing performances from their early 1990s world tour.
  • 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: Take Me in the Night
Triple: [Ghosts of Download, notableTrack, Take Me in the Night]
Generated description
"Take Me in the Night" is a synth-driven electronic pop song by Blondie from their 2014 album *Ghosts of Download*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Take Me in the Night
Target entity description: "Take Me in the Night" is a synth-driven electronic pop song by Blondie from their 2014 album *Ghosts of Download*.
  • A. Take Me In
    "Take Me In" is a song by Dutch singer-songwriter Roel van Velzen, known for its melodic pop-rock style and emotive vocals.
  • B. You Can't Take Me
    "You Can't Take Me" is a country song recorded by the American duo Double Wide.
  • C. Take Me
    "Take Me" is a 2017 dark comedy film about a struggling entrepreneur who runs a simulated kidnapping service that spirals out of control when he takes on an unusually mysterious client.
  • D. Give Me the Night
    "Give Me the Night" is a 1980 jazz-funk and R&B hit song by George Benson, produced by Quincy Jones and widely regarded as one of his signature tracks.
  • E. On the Night
    On the Night is a live album by British rock band Dire Straits, capturing performances from their early 1990s world tour.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe3d76c8190a8a5cb52bb9bfc2b completed April 20, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb1b767881908404c3039f0c2b51 completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bbb570f4819093e23b20fd83d101 completed May 16, 2026, 6:47 p.m.
NED2 Entity disambiguation (via description) batch_6a08bf7d661c8190af9e9b7b4121f951 completed May 16, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:42 a.m.