Triple

T8176218
Position Surface form Disambiguated ID Type / Status
Subject God Did E190941 entity
Predicate hasPart P35 FINISHED
Object Grateful (song)
"Grateful" is a hip hop track by DJ Khaled featuring Vory, known for its reflective, motivational tone and appearance on his album "God Did."
E717892 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: Grateful (song) | Statement: [God Did, hasPart, Grateful (song)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grateful (song)
Context triple: [God Did, hasPart, Grateful (song)]
  • A. I’m So Grateful
    "I’m So Grateful" is a hit single by the artist Grateful, known for its uplifting, thankful theme.
  • 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 song featured on the jazz standard album "All of Me."
  • 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
    "Thank You" is a soulful R&B song by British singer-songwriter Estelle, showcasing her smooth vocals and heartfelt lyricism.
  • 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: Grateful (song)
Triple: [God Did, hasPart, Grateful (song)]
Generated description
"Grateful" is a hip hop track by DJ Khaled featuring Vory, known for its reflective, motivational tone and appearance on his album "God Did."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grateful (song)
Target entity description: "Grateful" is a hip hop track by DJ Khaled featuring Vory, known for its reflective, motivational tone and appearance on his album "God Did."
  • A. I’m So Grateful
    "I’m So Grateful" is a hit single by the artist Grateful, known for its uplifting, thankful theme.
  • B. 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."
  • C. 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.
  • D. Thank You
    "Thank You" is a song featured on the jazz standard album "All of Me."
  • E. Thank You
    "Thank You" is a soulful R&B song by British singer-songwriter Estelle, showcasing her smooth vocals and heartfelt lyricism.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4ab8295081909a450fcaa34f6ec6 completed March 31, 2026, 4:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced64c9588190b8db6452c364347d completed April 1, 2026, 10:03 a.m.
NEDg Description generation batch_69ccf09a952c8190ace6a9f0012ad90a completed April 1, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_69cd0579b6d08190a5c68d730e1c6284 completed April 1, 2026, 11:46 a.m.
Created at: March 30, 2026, 5:40 p.m.