Triple

T21776683
Position Surface form Disambiguated ID Type / Status
Subject Dylan Minnette E537600 entity
Predicate hasActedIn P15620 FINISHED
Object Lost
Lost is a critically acclaimed American television drama series that follows the mysterious lives of survivors of a plane crash on a strange, supernatural island.
 E85538 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: [Dylan Minnette, hasActedIn, Lost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lost
Context triple: [Dylan Minnette, hasActedIn, 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 contemporary fantasy novel by Gregory Maguire that blends ghost story elements with literary homage to Charles Dickens’s A Christmas Carol.
  • 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: [Dylan Minnette, hasActedIn, Lost]
Generated description
Lost is a critically acclaimed American television drama series that follows the mysterious lives of survivors of a plane crash on a strange, supernatural island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lost
Target entity description: Lost is a critically acclaimed American television drama series that follows the mysterious lives of survivors of a plane crash on a strange, supernatural island.
  • A. Lost chosen
    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 contemporary fantasy novel by Gregory Maguire that blends ghost story elements with literary homage to Charles Dickens’s A Christmas Carol.
  • 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 track from Michael Bublé’s 2007 album *Call Me Irresponsible*, known as a heartfelt pop ballad about heartbreak and emotional recovery.
  • F. None of above.

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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04629e5c481909f37b05b9c3cc515 completed April 28, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e6f77cc81909ff2ca8b6c8e57e0 completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a3f5813a081909f253f04ca218559 completed May 17, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a0a400831d881909631e1accd5618f1 completed May 17, 2026, 10:24 p.m.
Created at: April 16, 2026, 6:51 p.m.