Triple

T21448563
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Sparks E529142 entity
Predicate notableWork P4 FINISHED
Object See Me
See Me is a romantic drama novel by Nicholas Sparks that follows the intertwined lives of a reformed troublemaker and an ambitious lawyer whose rekindled connection is threatened by a dangerous secret from the past.
 E1485534 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: See Me | Statement: [Nicholas Sparks, notableWork, See Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: See Me
Context triple: [Nicholas Sparks, notableWork, See Me]
  • A. You See Me
    "You See Me" is a song by the American indie rock band Camp.
  • B. See Me Through
    "See Me Through" is a song featured on the album "Enlightenment," likely reflecting its themes of introspection and spiritual or emotional insight.
  • C. Can You See Me
    "Can You See Me" is a high-energy rock song by the Jimi Hendrix Experience, showcasing Hendrix's virtuosic guitar work and psychedelic sound.
  • D. See Me Now
    "See Me Now" is a song released as part of Kanye West's GOOD Fridays music series.
  • E. Come See Me
    "Come See Me" is a song best known as a 2016 R&B/hip-hop single by Canadian duo PARTYNEXTDOOR featuring Drake.
  • 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: See Me
Triple: [Nicholas Sparks, notableWork, See Me]
Generated description
See Me is a romantic drama novel by Nicholas Sparks that follows the intertwined lives of a reformed troublemaker and an ambitious lawyer whose rekindled connection is threatened by a dangerous secret from the past.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: See Me
Target entity description: See Me is a romantic drama novel by Nicholas Sparks that follows the intertwined lives of a reformed troublemaker and an ambitious lawyer whose rekindled connection is threatened by a dangerous secret from the past.
  • A. You See Me
    "You See Me" is a song by the American indie rock band Camp.
  • B. See Me Through
    "See Me Through" is a song featured on the album "Enlightenment," likely reflecting its themes of introspection and spiritual or emotional insight.
  • C. Can You See Me
    "Can You See Me" is a high-energy rock song by the Jimi Hendrix Experience, showcasing Hendrix's virtuosic guitar work and psychedelic sound.
  • D. See Me Now
    "See Me Now" is a song released as part of Kanye West's GOOD Fridays music series.
  • E. Come See Me
    "Come See Me" is a song best known as a 2016 R&B/hip-hop single by Canadian duo PARTYNEXTDOOR featuring Drake.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d11ca48190aafe25c97dfa5578 completed April 23, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c907cb9c8190b4a50551b274a915 completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09ca21f52481909aa6033dbe4c5985 completed May 17, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_6a09cb9587a88190b0e1c0d25d3733da completed May 17, 2026, 2:07 p.m.
Created at: April 16, 2026, 6:06 p.m.