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.