Triple

T2323444
Position Surface form Disambiguated ID Type / Status
Subject Teatro E48232 entity
Predicate hasTrack P3284 FINISHED
Object Everywhere I Go
"Everywhere I Go" is a song featured on the album "Teatro" by Willie Nelson.
 E256764 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: Everywhere I Go | Statement: [Teatro, hasTrack, Everywhere I Go]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Everywhere I Go
Context triple: [Teatro, hasTrack, Everywhere I Go]
  • A. Everywhere I Look
    Everywhere I Look is a collection of essays and diary-style pieces by Australian writer Helen Garner, reflecting on everyday life, literature, and culture with her characteristic clarity and emotional insight.
  • B. Let Me Go
    "Let Me Go" is a song featured on the R&B singer Keke Wyatt's album "Two Eleven."
  • C. Whenever, Wherever
    "Whenever, Wherever" is a globally successful Latin pop song by Colombian singer Shakira that helped launch her international crossover career in the early 2000s.
  • D. So Gone
    "So Gone" is an R&B song best known as a 2003 hit single by Monica, produced by Missy Elliott and Kanye West.
  • E. As We Go
    As We Go is a collection of essays by American writer and editor Charles Dudley Warner, reflecting his observations on everyday life and society in the late 19th century.
  • 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: Everywhere I Go
Triple: [Teatro, hasTrack, Everywhere I Go]
Generated description
"Everywhere I Go" is a song featured on the album "Teatro" by Willie Nelson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Everywhere I Go
Target entity description: "Everywhere I Go" is a song featured on the album "Teatro" by Willie Nelson.
  • A. Everywhere I Look
    Everywhere I Look is a collection of essays and diary-style pieces by Australian writer Helen Garner, reflecting on everyday life, literature, and culture with her characteristic clarity and emotional insight.
  • B. Let Me Go
    "Let Me Go" is a song featured on the R&B singer Keke Wyatt's album "Two Eleven."
  • C. Whenever, Wherever
    "Whenever, Wherever" is a globally successful Latin pop song by Colombian singer Shakira that helped launch her international crossover career in the early 2000s.
  • D. So Gone
    "So Gone" is an R&B song best known as a 2003 hit single by Monica, produced by Missy Elliott and Kanye West.
  • E. As We Go
    As We Go is a collection of essays by American writer and editor Charles Dudley Warner, reflecting his observations on everyday life and society in the late 19th century.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc6488de481909f018700fa1f9fc7 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae896b357c8190a6cdf99d5292037e completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8e8263a08190a0950dbb1336df70 completed March 9, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69ae8f9fe79c819080062587aed27379 completed March 9, 2026, 9:15 a.m.
Created at: March 4, 2026, 7:49 p.m.