Triple

T3128299
Position Surface form Disambiguated ID Type / Status
Subject Lord Willin' E65348 entity
Predicate hasPart P35 FINISHED
Object Ego
Ego is a track by the hip-hop duo Clipse from their debut studio album "Lord Willin'."
 E329835 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: Ego | Statement: [Lord Willin', hasPart, Ego]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ego
Context triple: [Lord Willin', hasPart, Ego]
  • A. Ego
    "Ego" is a confident, R&B-influenced song by Beyoncé that appears on her album "I Am... Sasha Fierce."
  • B. Me, Myself and I
    "Me, Myself and I" is a soulful R&B ballad by Beyoncé that reflects on self-reliance and personal strength after heartbreak.
  • C. Ego Trippin'
    "Ego Trippin'" is a studio album by American rapper Snoop Dogg that showcases his laid-back West Coast style and experimentation with diverse sounds beyond his earlier G-funk roots.
  • D. Our Very Own
    "Our Very Own" is a 1950 American drama film starring Ann Blyth and Jane Wyatt that explores the emotional upheaval of a teenager who discovers she is adopted.
  • E. To Each His Own
    To Each His Own is a 1946 romantic drama film best known for Olivia de Havilland’s Oscar-winning performance as a woman who must give up her illegitimate child and later encounters him as an adult.
  • 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: Ego
Triple: [Lord Willin', hasPart, Ego]
Generated description
Ego is a track by the hip-hop duo Clipse from their debut studio album "Lord Willin'."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ego
Target entity description: Ego is a track by the hip-hop duo Clipse from their debut studio album "Lord Willin'."
  • A. Ego
    "Ego" is a confident, R&B-influenced song by Beyoncé that appears on her album "I Am... Sasha Fierce."
  • B. Me, Myself and I
    "Me, Myself and I" is a soulful R&B ballad by Beyoncé that reflects on self-reliance and personal strength after heartbreak.
  • C. Ego Trippin'
    "Ego Trippin'" is a studio album by American rapper Snoop Dogg that showcases his laid-back West Coast style and experimentation with diverse sounds beyond his earlier G-funk roots.
  • D. Our Very Own
    "Our Very Own" is a 1950 American drama film starring Ann Blyth and Jane Wyatt that explores the emotional upheaval of a teenager who discovers she is adopted.
  • E. To Each His Own
    To Each His Own is a 1946 romantic drama film best known for Olivia de Havilland’s Oscar-winning performance as a woman who must give up her illegitimate child and later encounters him as an adult.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada546a6648190bc4bc3e599e6aa95 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f7c70108190b61177d1581fc33f completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b2138e2bdc8190aa0a8a1dcd1e20fc completed March 12, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_69b21438b6e881908da0117ebc9bb2b4 completed March 12, 2026, 1:17 a.m.
Created at: March 8, 2026, 3:04 p.m.