Triple

T31221243
Position Surface form Disambiguated ID Type / Status
Subject Daniel Abraham E796013 entity
Predicate notableShortFiction P40731 FINISHED
Object Flat Diane
Flat Diane is a dark fantasy/horror short story by Daniel Abraham that explores themes of identity, abuse, and the supernatural through the tale of a girl whose paper effigy experiences disturbing events in her place.
 E1951585 NE FINISHED

How this triple was built (3 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: Flat Diane | Statement: [Daniel Abraham, notableShortFiction, Flat Diane]
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: Flat Diane
Triple: [Daniel Abraham, notableShortFiction, Flat Diane]
Generated description
Flat Diane is a dark fantasy/horror short story by Daniel Abraham that explores themes of identity, abuse, and the supernatural through the tale of a girl whose paper effigy experiences disturbing events in her place.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: notableShortFiction
Context triple: [Daniel Abraham, notableShortFiction, Flat Diane]
  • A. notableShort
    Indicates that an entity is notably short in height or duration compared to typical or expected standards.
  • B. notableShortFilm chosen
    Indicates that the subject is a short film that is recognized as notable or significant in some meaningful way.
  • C. notableFictionalFeature
    Indicates that an entity is distinguished by a specific fictional characteristic, trait, or element it is known for.
  • D. novel
    Indicates that an entity is new, original, or not previously known or used in the given context.
  • E. notableStory
    Indicates that an entity is the subject or source of a story, account, or narrative that is considered notable or significant.
  • F. None of above.

Provenance (6 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_69f224da98f88190ab32f690cce5d303 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a29592f0ffc81908f4513f97c21c52c completed June 10, 2026, 12:31 p.m.
NEDg Description generation batch_6a295d2ada288190aaf4ba844b770666 completed June 10, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_6a295e13ebbc8190bba5d5efe052b6ea completed June 10, 2026, 12:52 p.m.
PD Predicate disambiguation batch_6a0379e5174c8190a0bdde7e381b7624 completed May 12, 2026, 7:05 p.m.
Created at: April 29, 2026, 9:10 p.m.