Triple

T2930058
Position Surface form Disambiguated ID Type / Status
Subject Michael Masser E78938 entity
Predicate notableWork P4 FINISHED
Object Stay with Me
"Stay with Me" is a soulful ballad composed by Michael Masser, best known through its powerful vocal performances and enduring popularity as a classic love song.
 E312874 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: Stay with Me | Statement: [Michael Masser, notableWork, Stay with Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stay with Me
Context triple: [Michael Masser, notableWork, Stay with Me]
  • A. Stuck with Me
    "Stuck with Me" is a punk rock song by Green Day, best known as one of the singles from their 1995 album *Insomniac*.
  • B. Stay With You
    "Stay With You" is a soulful R&B ballad by John Legend from his debut album "Get Lifted."
  • C. I'll Stay Me
    "I'll Stay Me" is the first studio album by American country singer Luke Bryan, showcasing his traditional country roots and storytelling style.
  • D. Watch Over Me
    Watch Over Me is an American telenovela-style drama television series that aired on MyNetworkTV in the mid-2000s, centered on romance, intrigue, and personal security.
  • E. All of Me
    All of Me is a 1984 fantasy-comedy film starring Steve Martin as a lawyer whose body is comically shared with the soul of a deceased heiress.
  • 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: Stay with Me
Triple: [Michael Masser, notableWork, Stay with Me]
Generated description
"Stay with Me" is a soulful ballad composed by Michael Masser, best known through its powerful vocal performances and enduring popularity as a classic love song.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stay with Me
Target entity description: "Stay with Me" is a soulful ballad composed by Michael Masser, best known through its powerful vocal performances and enduring popularity as a classic love song.
  • A. Stuck with Me
    "Stuck with Me" is a punk rock song by Green Day, best known as one of the singles from their 1995 album *Insomniac*.
  • B. Stay With You
    "Stay With You" is a soulful R&B ballad by John Legend from his debut album "Get Lifted."
  • C. I'll Stay Me
    "I'll Stay Me" is the first studio album by American country singer Luke Bryan, showcasing his traditional country roots and storytelling style.
  • D. Watch Over Me
    Watch Over Me is an American telenovela-style drama television series that aired on MyNetworkTV in the mid-2000s, centered on romance, intrigue, and personal security.
  • E. All of Me
    All of Me is a 1984 fantasy-comedy film starring Steve Martin as a lawyer whose body is comically shared with the soul of a deceased heiress.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad980191388190ac2455a7d9867be3 completed March 8, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b086703868819083eacc3fe392fde1 completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0d21ad8908190bf232b48d8766f59 completed March 11, 2026, 2:23 a.m.
NED2 Entity disambiguation (via description) batch_69b0d278538481909f573d77cb0338da completed March 11, 2026, 2:24 a.m.
Created at: March 8, 2026, 2:55 p.m.