Triple

T14705672
Position Surface form Disambiguated ID Type / Status
Subject Chicago Poems E345423 entity
Predicate notablePoem P4 FINISHED
Object Fog
"Fog" is a brief, imagistic poem by Carl Sandburg that famously compares fog to a silent cat, exemplifying his modern, accessible style.
 E1116131 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: Fog | Statement: [Chicago Poems, notablePoem, Fog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fog
Context triple: [Chicago Poems, notablePoem, Fog]
  • A. Niebla
    Niebla is a historic town in the province of Huelva, Spain, known for its well-preserved medieval walls and strategic importance in Andalusian history.
  • B. Niebla
    Niebla is a landmark 1914 novel by Spanish writer Miguel de Unamuno that blends fiction and philosophy in a metafictional exploration of identity, free will, and the nature of literary creation.
  • C. Foggy
    Foggy is the nickname of Foggy Dewhurst, a comically pompous and ex-military character from the long-running British sitcom "Last of the Summer Wine."
  • D. A Foggy Day
    "A Foggy Day" is a popular jazz and pop standard composed by George and Ira Gershwin, widely recorded by vocalists and instrumentalists since its 1937 debut.
  • E. Sea Fog
    Sea Fog is a 2014 South Korean thriller film about a fishing crew’s desperate attempt to smuggle migrants that spirals into tragedy.
  • 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: Fog
Triple: [Chicago Poems, notablePoem, Fog]
Generated description
"Fog" is a brief, imagistic poem by Carl Sandburg that famously compares fog to a silent cat, exemplifying his modern, accessible style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fog
Target entity description: "Fog" is a brief, imagistic poem by Carl Sandburg that famously compares fog to a silent cat, exemplifying his modern, accessible style.
  • A. Niebla
    Niebla is a landmark 1914 novel by Spanish writer Miguel de Unamuno that blends fiction and philosophy in a metafictional exploration of identity, free will, and the nature of literary creation.
  • B. Niebla
    Niebla is a historic town in the province of Huelva, Spain, known for its well-preserved medieval walls and strategic importance in Andalusian history.
  • C. Foggy
    Foggy is the nickname of Foggy Dewhurst, a comically pompous and ex-military character from the long-running British sitcom "Last of the Summer Wine."
  • D. A Foggy Day
    "A Foggy Day" is a popular jazz and pop standard composed by George and Ira Gershwin, widely recorded by vocalists and instrumentalists since its 1937 debut.
  • E. Sea Fog
    Sea Fog is a 2014 South Korean thriller film about a fishing crew’s desperate attempt to smuggle migrants that spirals into tragedy.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb6086c608190a66c64e23a3e002f completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf087ce8c819081a7186df67bcf1f completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf2a63cc88190b3670378c54c96b6 completed May 8, 2026, 2:26 p.m.
NED2 Entity disambiguation (via description) batch_69fdf31fcb4081908a88cf4d4c5ddced completed May 8, 2026, 2:28 p.m.
Created at: April 10, 2026, 1:28 a.m.