Triple

T22608025
Position Surface form Disambiguated ID Type / Status
Subject Love Takes Wing E566616 entity
Predicate character P662 FINISHED
Object Ned
Ned is a fictional character from the Christian drama film "Love Takes Wing," part of the Love Comes Softly series.
 E1545939 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: Ned | Statement: [Love Takes Wing, character, Ned]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ned
Context triple: [Love Takes Wing, character, Ned]
  • A. Ned
    Ned is a common English diminutive form of the given name Edward.
  • B. Ned
    Ned is the pie-making protagonist of the whimsical TV series "Pushing Daisies," gifted with the power to temporarily bring the dead back to life with a single touch.
  • C. Ned
    Ned is a central character in Robert Silverberg’s science fiction novel "The Book of Skulls," one of four college students who seek an ancient order promising immortality at a terrible cost.
  • D. Ned
    Ned is the reflective former spy whose training-school recollections frame and narrate John le Carré’s novel *The Secret Pilgrim*.
  • E. Ned Trent
    Ned Trent is the protagonist of the thriller novel "The Specialist," known for his role as a skilled and determined operative navigating high-stakes danger.
  • 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: Ned
Triple: [Love Takes Wing, character, Ned]
Generated description
Ned is a fictional character from the Christian drama film "Love Takes Wing," part of the Love Comes Softly series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ned
Target entity description: Ned is a fictional character from the Christian drama film "Love Takes Wing," part of the Love Comes Softly series.
  • A. Ned
    Ned is a common English diminutive form of the given name Edward.
  • B. Ned
    Ned is the pie-making protagonist of the whimsical TV series "Pushing Daisies," gifted with the power to temporarily bring the dead back to life with a single touch.
  • C. Ned
    Ned is a central character in Robert Silverberg’s science fiction novel "The Book of Skulls," one of four college students who seek an ancient order promising immortality at a terrible cost.
  • D. Ned
    Ned is the reflective former spy whose training-school recollections frame and narrate John le Carré’s novel *The Secret Pilgrim*.
  • E. Ned Trent
    Ned Trent is the protagonist of the thriller novel "The Specialist," known for his role as a skilled and determined operative navigating high-stakes danger.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167e75658819089153eab7563540c completed April 29, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b4df957fc8190a4bb951dde3765a4 completed May 18, 2026, 5:35 p.m.
NEDg Description generation batch_6a0b50387eb08190ac727f02113aabfe completed May 18, 2026, 5:45 p.m.
NED2 Entity disambiguation (via description) batch_6a0b5081eff08190b4d626bf7469e50c completed May 18, 2026, 5:46 p.m.
Created at: April 17, 2026, 2:55 p.m.