Triple

T21073309
Position Surface form Disambiguated ID Type / Status
Subject Damon Knight E519163 entity
Predicate notableWork P4 FINISHED
Object In Deep
"In Deep" is a science fiction short story collection by Damon Knight that showcases his sharp, often satirical explorations of human nature and speculative ideas.
E1464497 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: In Deep | Statement: [Damon Knight, notableWork, In Deep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: In Deep
Context triple: [Damon Knight, notableWork, In Deep]
  • A. In Deep
    "In Deep" is a song by American singer-songwriter Skylar Grey from her album "Side Effects of You."
  • B. Deepwater
    Deepwater is a small rural town in the New England region of northern New South Wales, Australia, known historically for agriculture and grazing.
  • C. Deep Sea
    Deep Sea is an aquarium exhibit showcasing the mysterious life forms and extreme environments found in the ocean’s deepest regions.
  • D. Underwater
    Underwater is a 2020 science fiction horror film starring Kristen Stewart as a mechanical engineer struggling to survive after an earthquake devastates a deep-sea research facility.
  • E. Deep Water
    Deep Water is an autobiographical book by Olympic swimmer Don Schollander that recounts his experiences and achievements in competitive swimming.
  • 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: In Deep
Triple: [Damon Knight, notableWork, In Deep]
Generated description
"In Deep" is a science fiction short story collection by Damon Knight that showcases his sharp, often satirical explorations of human nature and speculative ideas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: In Deep
Target entity description: "In Deep" is a science fiction short story collection by Damon Knight that showcases his sharp, often satirical explorations of human nature and speculative ideas.
  • A. In Deep
    "In Deep" is a song by American singer-songwriter Skylar Grey from her album "Side Effects of You."
  • B. Deepwater
    Deepwater is a small rural town in the New England region of northern New South Wales, Australia, known historically for agriculture and grazing.
  • C. Deep Sea
    Deep Sea is an aquarium exhibit showcasing the mysterious life forms and extreme environments found in the ocean’s deepest regions.
  • D. Underwater
    Underwater is a 2020 science fiction horror film starring Kristen Stewart as a mechanical engineer struggling to survive after an earthquake devastates a deep-sea research facility.
  • E. Deep Water
    "Deep Water" is a soulful, introspective song by British singer Seal from his self-titled debut album, blending atmospheric production with emotive vocals.
  • 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d491a08190a9f5f28c0b72d38c completed April 21, 2026, 4:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09507598948190917746ab2eec4c7e completed May 17, 2026, 5:21 a.m.
NEDg Description generation batch_6a095110f5c081908458a6cbc9144986 completed May 17, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_6a09518e0a088190999ba39bcbc9cb5f completed May 17, 2026, 5:26 a.m.
Created at: April 16, 2026, 2:47 p.m.