Triple

T14552514
Position Surface form Disambiguated ID Type / Status
Subject On and On E341452 entity
Predicate hasTrack P3284 FINISHED
Object Taylor
"Taylor" is a song featured on the album "On and On," likely recognized as one of its individual tracks.
 E1107076 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: Taylor | Statement: [On and On, hasTrack, Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taylor
Context triple: [On and On, hasTrack, Taylor]
  • A. Taylor
    Taylor is a suburban city in Wayne County, Michigan, known for its residential communities and proximity to Detroit.
  • B. Taylor
    Taylor is a common English surname borne by numerous notable individuals across fields such as politics, arts, sports, and academia.
  • C. Taylor
    Taylor is the given name of Taylor Monét Parks, an American singer-songwriter and actress professionally known as Tayla Parx.
  • D. Tyler
    Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
  • E. Tyler
    Tyler is a fictional character appearing in the American television series "Kristin."
  • 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: Taylor
Triple: [On and On, hasTrack, Taylor]
Generated description
"Taylor" is a song featured on the album "On and On," likely recognized as one of its individual tracks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taylor
Target entity description: "Taylor" is a song featured on the album "On and On," likely recognized as one of its individual tracks.
  • A. Taylor
    Taylor is a common English surname borne by numerous notable individuals across fields such as politics, arts, sports, and academia.
  • B. Taylor
    Taylor is a suburban city in Wayne County, Michigan, known for its residential communities and proximity to Detroit.
  • C. Taylor
    Taylor is the given name of Taylor Monét Parks, an American singer-songwriter and actress professionally known as Tayla Parx.
  • D. Tyler
    Tyler is a character in the 2015 horror-thriller film "The Visit," serving as one of the two grandchildren whose unsettling stay with their grandparents drives the movie’s plot.
  • E. Tyler
    Tyler is a fictional character appearing in the American television series "Kristin."
  • 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.