Triple

T14552515
Position Surface form Disambiguated ID Type / Status
Subject On and On E341452 entity
Predicate hasTrack P3284 FINISHED
Object Gone
"Gone" is a song featured on the album "On and On," likely contributing to the record's overall mood and thematic continuity.
 E1107077 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: Gone | Statement: [On and On, hasTrack, Gone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gone
Context triple: [On and On, hasTrack, Gone]
  • A. Gone
    "Gone" is a country music album by American singer-songwriter Dwight Yoakam that blends traditional honky-tonk with more contemporary influences.
  • B. Gone
    "Gone" is a crime thriller novel in the Michael Bennett series by James Patterson, following the NYPD detective as he confronts a vengeful crime lord he once helped put away.
  • C. Gone
    "Gone" is a suspense thriller novel by bestselling American crime writer Lisa Gardner, featuring a high-stakes kidnapping investigation and psychological tension.
  • D. Gone
    "Gone" is a punk rock song by The Bouncing Souls, known for its melodic hooks and emotionally charged lyrics about loss and moving on.
  • E. Gone
    "Gone" is a reflective hip-hop track by Kanye West featuring Consequence and Cam'ron, known for its soulful Otis Redding sample and intricate storytelling.
  • 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: Gone
Triple: [On and On, hasTrack, Gone]
Generated description
"Gone" is a song featured on the album "On and On," likely contributing to the record's overall mood and thematic continuity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gone
Target entity description: "Gone" is a song featured on the album "On and On," likely contributing to the record's overall mood and thematic continuity.
  • A. Gone
    "Gone" is a song featured on the album "Music" by American singer Madonna.
  • B. Gone
    "Gone" is a U2 song from their 1997 album "Pop," known for its introspective lyrics and powerful live performances.
  • C. Gone
    "Gone" is a punk rock song by The Bouncing Souls, known for its melodic hooks and emotionally charged lyrics about loss and moving on.
  • D. Gone
    "Gone" is a reflective hip-hop track by Kanye West featuring Consequence and Cam'ron, known for its soulful Otis Redding sample and intricate storytelling.
  • E. Gone
    "Gone" is a country music album by American singer-songwriter Dwight Yoakam that blends traditional honky-tonk with more contemporary influences.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ee34208190bf040a513767c958 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab7d698819085fd81d7b6f96317 completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8b8566cc81908c5cecefb5d71e63 completed May 8, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69fd8e8c320c8190b08af08226e50622 completed May 8, 2026, 7:19 a.m.
Created at: April 10, 2026, 1:23 a.m.