Triple

T14211494
Position Surface form Disambiguated ID Type / Status
Subject White Buildings E352242 entity
Predicate hasPoem P21160 FINISHED
Object Fear
"Fear" is a poem featured in Hart Crane’s influential modernist poetry collection *White Buildings*.
E1085898 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: Fear | Statement: [White Buildings, hasPoem, Fear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fear
Context triple: [White Buildings, hasPoem, Fear]
  • A. Fear
    Fear is a nervous, cautious emotion character in Pixar's animated film "Inside Out," responsible for keeping Riley safe by anticipating potential dangers.
  • B. Fear
    "Fear" is a 1996 psychological thriller film starring Mark Wahlberg and Reese Witherspoon, known for its intense portrayal of an obsessive and violent teenage relationship.
  • C. Fear
    Fear is a non-fiction book by British explorer and author Sir Ranulph Fiennes in which he examines the nature of fear through his own extreme life experiences and expeditions.
  • D. Fear
    "Fear" is a song by American rock band Blue October, known for its introspective lyrics and emotional exploration of anxiety and overcoming inner struggles.
  • E. Fear
    "Fear" is a 1940 psychological horror novella by L. Ron Hubbard that follows a professor’s descent into paranoia and madness after losing four hours of his memory.
  • 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: Fear
Triple: [White Buildings, hasPoem, Fear]
Generated description
"Fear" is a poem featured in Hart Crane’s influential modernist poetry collection *White Buildings*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fear
Target entity description: "Fear" is a poem featured in Hart Crane’s influential modernist poetry collection *White Buildings*.
  • A. Fear
    "Fear" is a song by American rock band Blue October, known for its introspective lyrics and emotional exploration of anxiety and overcoming inner struggles.
  • B. Fear
    "Fear" is a 1940 psychological horror novella by L. Ron Hubbard that follows a professor’s descent into paranoia and madness after losing four hours of his memory.
  • C. Fear
    Fear is a nervous, cautious emotion character in Pixar's animated film "Inside Out," responsible for keeping Riley safe by anticipating potential dangers.
  • D. Fear
    Fear is a non-fiction book by British explorer and author Sir Ranulph Fiennes in which he examines the nature of fear through his own extreme life experiences and expeditions.
  • E. Fear
    Fear is a psychological novella by Stefan Zweig that explores guilt, anxiety, and the unraveling of a bourgeois woman after an extramarital affair.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620dba0c8190bb77a1df10e1d3a7 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19574280819091bafd95a75983bf completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1a231cbc819083d38e25073892bf completed May 7, 2026, 11:02 p.m.
NED2 Entity disambiguation (via description) batch_69fd1ada47788190afcf8078d76ef339 completed May 7, 2026, 11:06 p.m.
Created at: April 10, 2026, 1:05 a.m.