Triple

T12223780
Position Surface form Disambiguated ID Type / Status
Subject Gavin DeGraw (album) E291287 entity
Predicate hasPart P35 FINISHED
Object I Have You to Thank
"I Have You to Thank" is a song by American singer-songwriter Gavin DeGraw from his self-titled album.
 E968479 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 Have You to Thank | Statement: [Gavin DeGraw (album), hasPart, I Have You to Thank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: I Have You to Thank
Context triple: [Gavin DeGraw (album), hasPart, I Have You to Thank]
  • A. 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.
  • B. This Is the Thanks I Get
    "This Is the Thanks I Get" is an R&B song by American singer, songwriter, and producer Mario Winans.
  • C. 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.
  • D. Thank You for Loving Me
    "Thank You for Loving Me" is a song by South Korean singer Crush, known for its smooth R&B style and emotive vocal delivery.
  • E. I’m So Grateful
    "I’m So Grateful" is a hit single by the artist Grateful, known for its uplifting, thankful theme.
  • 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 Have You to Thank
Triple: [Gavin DeGraw (album), hasPart, I Have You to Thank]
Generated description
"I Have You to Thank" is a song by American singer-songwriter Gavin DeGraw from his self-titled album.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: I Have You to Thank
Target entity description: "I Have You to Thank" is a song by American singer-songwriter Gavin DeGraw from his self-titled album.
  • A. 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.
  • B. This Is the Thanks I Get
    "This Is the Thanks I Get" is an R&B song by American singer, songwriter, and producer Mario Winans.
  • C. 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.
  • D. Thank You for Loving Me
    "Thank You for Loving Me" is a song by South Korean singer Crush, known for its smooth R&B style and emotive vocal delivery.
  • E. I’m So Grateful
    "I’m So Grateful" is a hit single by the artist Grateful, known for its uplifting, thankful theme.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca11f788190bad2efb6c83ffccb completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa6d3d481909852a6f2f90d7a41 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60c06e4c08190985114da9317e8fd completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60c97a7e08190b782b3aa6d60d770 completed May 2, 2026, 2:39 p.m.
Created at: April 8, 2026, 9:51 p.m.