Triple

T20269768
Position Surface form Disambiguated ID Type / Status
Subject Gregory Maguire E499062 entity
Predicate notableWork P4 FINISHED
Object Lost
Lost is a contemporary fantasy novel by Gregory Maguire that blends ghost story elements with literary homage to Charles Dickens’s A Christmas Carol.
 E1420410 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: Lost | Statement: [Gregory Maguire, notableWork, Lost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lost
Context triple: [Gregory Maguire, notableWork, Lost]
  • A. Lost
    "Lost" is a song by American singer-songwriter Zola Jesus, known for its dark, atmospheric sound and emotionally intense vocals.
  • B. Lost
    "Lost" is a popular hip hop single by American rapper Gorilla Zoe that gained attention for its introspective lyrics and melodic, auto-tuned style.
  • C. Lost
    "Lost" is a song featured on the inspirational music album "Rise Up."
  • D. Lost
    "Lost" is a track from Michael Bublé’s 2007 album *Call Me Irresponsible*, known as a heartfelt pop ballad about heartbreak and emotional recovery.
  • E. Lost
    Lost is a critically acclaimed American television drama series that blends mystery, science fiction, and character-driven storytelling as it follows survivors of a plane crash on a mysterious island.
  • 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: Lost
Triple: [Gregory Maguire, notableWork, Lost]
Generated description
Lost is a contemporary fantasy novel by Gregory Maguire that blends ghost story elements with literary homage to Charles Dickens’s A Christmas Carol.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lost
Target entity description: Lost is a contemporary fantasy novel by Gregory Maguire that blends ghost story elements with literary homage to Charles Dickens’s A Christmas Carol.
  • A. Lost
    Lost is a critically acclaimed American television drama series that blends mystery, science fiction, and character-driven storytelling as it follows survivors of a plane crash on a mysterious island.
  • B. Lost
    "Lost" is a track from Michael Bublé’s 2007 album *Call Me Irresponsible*, known as a heartfelt pop ballad about heartbreak and emotional recovery.
  • C. Lost
    "Lost" is a popular hip hop single by American rapper Gorilla Zoe that gained attention for its introspective lyrics and melodic, auto-tuned style.
  • D. Lost
    "Lost" is a song by American singer-songwriter Zola Jesus, known for its dark, atmospheric sound and emotionally intense vocals.
  • E. Lost
    "Lost" is a song featured on the inspirational music album "Rise Up."
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e675dc8e708190b840d687f134c9e8 completed April 20, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085537abf481908a7b7d700adb63b0 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0855fad28c81908c1516b64b8b1dc8 completed May 16, 2026, 11:33 a.m.
NED2 Entity disambiguation (via description) batch_6a08569e603881908e28fec3e8f5f5aa completed May 16, 2026, 11:35 a.m.
Created at: April 11, 2026, 11:42 p.m.