Triple

T18830784
Position Surface form Disambiguated ID Type / Status
Subject Follow Me E460521 entity
Predicate hasTitle P38 FINISHED
Object Follow Me
Follow Me is a title that may refer to various creative works, such as films, songs, or books, depending on the context.
E1347354 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: Follow Me | Statement: [Follow Me, hasTitle, Follow Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Follow Me
Context triple: [Follow Me, hasTitle, Follow Me]
  • A. Follow Me
    "Follow Me" is a song by Paul McCartney from his 2005 studio album "Chaos and Creation in the Backyard," noted for its intimate, reflective tone and melodic simplicity.
  • B. Follow Me
    "Follow Me" is a track from the Christian rock band Heartland, known for its melodic style and faith-centered lyrics.
  • C. Follow Me
    "Follow Me" is a 2001 soft rock/pop single by American musician Uncle Kracker that became his breakthrough hit and remains his most recognizable song.
  • D. Follow Me
    "Follow Me" is the motto of the U.S. Army Combat Infantryman Badge, symbolizing leadership and the willingness of infantry soldiers to lead from the front in combat.
  • E. The Follow
    The Follow is a short action-thriller film from BMW’s "The Hire" series, directed by Wong Kar-wai and starring Clive Owen as a mysterious driver.
  • 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: Follow Me
Triple: [Follow Me, hasTitle, Follow Me]
Generated description
Follow Me is a title that may refer to various creative works, such as films, songs, or books, depending on the context.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Follow Me
Target entity description: Follow Me is a title that may refer to various creative works, such as films, songs, or books, depending on the context.
  • A. Follow Me
    "Follow Me" is a song by Paul McCartney from his 2005 studio album "Chaos and Creation in the Backyard," noted for its intimate, reflective tone and melodic simplicity.
  • B. Follow Me
    "Follow Me" is a track from the Christian rock band Heartland, known for its melodic style and faith-centered lyrics.
  • C. Follow Me
    "Follow Me" is a 2001 soft rock/pop single by American musician Uncle Kracker that became his breakthrough hit and remains his most recognizable song.
  • D. Follow Me
    "Follow Me" is the motto of the U.S. Army Combat Infantryman Badge, symbolizing leadership and the willingness of infantry soldiers to lead from the front in combat.
  • E. The Follow
    The Follow is a literary work by Canadian author Linda Spalding, known for its reflective, character-driven exploration of family, memory, and personal history.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a9992bb081908ba517a5c9d93ef3 completed April 20, 2026, 4:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575ac249c8190989b9de40eb8a444 completed May 14, 2026, 7:11 a.m.
NEDg Description generation batch_6a0576d2baac8190a9cd366978471809 completed May 14, 2026, 7:16 a.m.
NED2 Entity disambiguation (via description) batch_6a0577ca320481909b26700820ad4820 completed May 14, 2026, 7:20 a.m.
Created at: April 10, 2026, 11:56 a.m.