Triple

T20875082
Position Surface form Disambiguated ID Type / Status
Subject Big Star E513997 entity
Predicate notableSong P4 FINISHED
Object Thirteen
"Thirteen" is a gentle, critically acclaimed acoustic ballad by the American rock band Big Star, celebrated for its nostalgic portrayal of adolescent love.
 E1455488 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: Thirteen | Statement: [Big Star, notableSong, Thirteen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thirteen
Context triple: [Big Star, notableSong, Thirteen]
  • A. Thirteen
    Thirteen is a studio album by American country and folk singer-songwriter Emmylou Harris.
  • B. Thirteen
    Thirteen is a 2003 coming-of-age drama film co-written by and starring Nikki Reed that explores the turbulent adolescence of a thirteen-year-old girl.
  • C. Thirteen
    Thirteen is a steel roller coaster at Alton Towers Resort in the UK, known for its surprise vertical drop section and psychological horror theme.
  • D. Thirteen
    Thirteen is the middle name of Rocky Thirteen Barker, a person whose distinctive name element sets them apart.
  • E. Thirteen
    Thirteen is the nickname of Dr. Remy Hadley, a physician character from the television series "House."
  • 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: Thirteen
Triple: [Big Star, notableSong, Thirteen]
Generated description
"Thirteen" is a gentle, critically acclaimed acoustic ballad by the American rock band Big Star, celebrated for its nostalgic portrayal of adolescent love.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thirteen
Target entity description: "Thirteen" is a gentle, critically acclaimed acoustic ballad by the American rock band Big Star, celebrated for its nostalgic portrayal of adolescent love.
  • A. Thirteen
    "Thirteen" is a song featured on Johnny Cash's album "American Recordings," known for its stark, acoustic style and introspective tone.
  • B. Thirteen
    Thirteen is a studio album by American country and folk singer-songwriter Emmylou Harris.
  • C. Thirteen
    Thirteen is a 2003 coming-of-age drama film co-written by and starring Nikki Reed that explores the turbulent adolescence of a thirteen-year-old girl.
  • D. Thirteen
    Thirteen is a steel roller coaster at Alton Towers Resort in the UK, known for its surprise vertical drop section and psychological horror theme.
  • E. Thirteen
    Thirteen is a powerful merchant council in the city of Qarth in the "A Song of Ice and Fire" series and its TV adaptation "Game of Thrones."
  • 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c674075081909e0819b20bdbb7f4 completed April 21, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09139e7854819098246a47699fdf1f completed May 17, 2026, 1:02 a.m.
NEDg Description generation batch_6a09145a9b0481909086941cdd981e1a completed May 17, 2026, 1:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0914f1925081909bce8ad0932c6722 completed May 17, 2026, 1:08 a.m.
Created at: April 16, 2026, 12:45 p.m.