Triple

T8904189
Position Surface form Disambiguated ID Type / Status
Subject Duran Duran E212008 entity
Predicate album P1995 FINISHED
Object Thank You
"Thank You" is a 1995 cover album by British band Duran Duran, featuring their interpretations of songs by artists such as Lou Reed, Led Zeppelin, and Public Enemy.
 E766538 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: Thank You | Statement: [Duran Duran, album, Thank You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thank You
Context triple: [Duran Duran, album, Thank You]
  • A. Thank You
    "Thank You" is a song featured on the jazz standard album "All of Me."
  • B. Thank You
    "Thank You" is a 1995 studio album by the American rock band Royal Trux, known for its experimental, lo-fi blend of noise rock and classic rock influences.
  • C. Thank You
    "Thank You" is Meghan Trainor's second major-label studio album, showcasing a more mature pop and R&B-influenced sound and featuring hits like "No" and "Me Too."
  • D. Thank You
    "Thank You" is a soulful R&B song by British singer-songwriter Estelle, showcasing her smooth vocals and heartfelt lyricism.
  • E. Thank You So Much
    "Thank You So Much" is a lesser-known song composed by Richard Rodgers, the influential American composer famed for his work in musical theatre.
  • 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: Thank You
Triple: [Duran Duran, album, Thank You]
Generated description
"Thank You" is a 1995 cover album by British band Duran Duran, featuring their interpretations of songs by artists such as Lou Reed, Led Zeppelin, and Public Enemy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thank You
Target entity description: "Thank You" is a 1995 cover album by British band Duran Duran, featuring their interpretations of songs by artists such as Lou Reed, Led Zeppelin, and Public Enemy.
  • A. Thank You
    "Thank You" is a song featured on the jazz standard album "All of Me."
  • B. Thank You
    "Thank You" is a 1995 studio album by the American rock band Royal Trux, known for its experimental, lo-fi blend of noise rock and classic rock influences.
  • C. Thank You
    "Thank You" is a soulful R&B song by British singer-songwriter Estelle, showcasing her smooth vocals and heartfelt lyricism.
  • D. Thank You
    "Thank You" is Meghan Trainor's second major-label studio album, showcasing a more mature pop and R&B-influenced sound and featuring hits like "No" and "Me Too."
  • E. Thank You So Much
    "Thank You So Much" is a lesser-known song composed by Richard Rodgers, the influential American composer famed for his work in musical theatre.
  • 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64c2509881908fb692522d348e96 completed April 1, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba26bc7881908639e9a812dec894 completed April 3, 2026, 1:01 p.m.
NEDg Description generation batch_69cfbcab0cd88190a2ea89e27324e4ff completed April 3, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_69cfbd71b8ec81909d222897c898e78a completed April 3, 2026, 1:15 p.m.
Created at: March 30, 2026, 6:55 p.m.