Triple

T3706825
Position Surface form Disambiguated ID Type / Status
Subject Sam & Dave E80912 entity
Predicate notableWork P4 FINISHED
Object I Thank You
"I Thank You" is a classic 1968 soul song by American duo Sam & Dave, celebrated for its energetic vocals and enduring influence on R&B music.
 E382840 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: I Thank You | Statement: [Sam & Dave, notableWork, I Thank You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: I Thank You
Context triple: [Sam & Dave, notableWork, I Thank You]
  • A. 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.
  • B. Thank You
    "Thank You" is a soulful R&B song by British singer-songwriter Estelle, showcasing her smooth vocals and heartfelt lyricism.
  • C. Thank You
    "Thank You" is a song featured on the jazz standard album "All of Me."
  • D. 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.
  • E. I Wanna Thank Me
    "I Wanna Thank Me" is a 2019 studio album by Snoop Dogg that showcases his veteran West Coast hip-hop style and self-reflective celebration of his long career.
  • 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: I Thank You
Triple: [Sam & Dave, notableWork, I Thank You]
Generated description
"I Thank You" is a classic 1968 soul song by American duo Sam & Dave, celebrated for its energetic vocals and enduring influence on R&B music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: I Thank You
Target entity description: "I Thank You" is a classic 1968 soul song by American duo Sam & Dave, celebrated for its energetic vocals and enduring influence on R&B music.
  • A. 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.
  • B. Thank You
    "Thank You" is a soulful R&B song by British singer-songwriter Estelle, showcasing her smooth vocals and heartfelt lyricism.
  • C. Thank You
    "Thank You" is a song featured on the jazz standard album "All of Me."
  • D. 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.
  • E. I Wanna Thank Me
    "I Wanna Thank Me" is a 2019 studio album by Snoop Dogg that showcases his veteran West Coast hip-hop style and self-reflective celebration of his long career.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc57edd748190a006e15fa0248679 completed March 8, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdfe77a481908880d0a4a5946656 completed March 14, 2026, 2:54 a.m.
NEDg Description generation batch_69b4cfcf3bd08190a372be19017adcd0 completed March 14, 2026, 3:02 a.m.
NED2 Entity disambiguation (via description) batch_69b4d0bb861c8190a8540198a47c13c1 completed March 14, 2026, 3:06 a.m.
Created at: March 8, 2026, 3:33 p.m.