Triple

T12942149
Position Surface form Disambiguated ID Type / Status
Subject Life Studies E309661 entity
Predicate hasPart P35 FINISHED
Object “Searoad”
“Searoad” is a short story by Anne Sexton included in her poetry collection *Life Studies*.
 E1010864 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: “Searoad” | Statement: [Life Studies, hasPart, “Searoad”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: “Searoad”
Context triple: [Life Studies, hasPart, “Searoad”]
  • A. “Sea and Land”
    “Sea and Land” is a scientific and popular work by geologist Nathaniel Shaler that explores the formation, history, and interrelation of the earth’s oceans and continents.
  • B. Seafar
    Seafar is a residential district within the new town of Cumbernauld in North Lanarkshire, Scotland.
  • C. The Seafarers
    The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
  • D. Way of the Sea
    Way of the Sea is an ancient trade and military route along the eastern Mediterranean coast that connected Egypt with Syria and Mesopotamia.
  • E. Seabreeze
    Seabreeze was a former neighboring city to Daytona Beach, Florida, that was eventually incorporated into the larger Daytona Beach municipality.
  • 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: “Searoad”
Triple: [Life Studies, hasPart, “Searoad”]
Generated description
“Searoad” is a short story by Anne Sexton included in her poetry collection *Life Studies*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: “Searoad”
Target entity description: “Searoad” is a short story by Anne Sexton included in her poetry collection *Life Studies*.
  • A. “Sea and Land”
    “Sea and Land” is a scientific and popular work by geologist Nathaniel Shaler that explores the formation, history, and interrelation of the earth’s oceans and continents.
  • B. Seafar
    Seafar is a residential district within the new town of Cumbernauld in North Lanarkshire, Scotland.
  • C. The Seafarers
    The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
  • D. Way of the Sea
    Way of the Sea is an ancient trade and military route along the eastern Mediterranean coast that connected Egypt with Syria and Mesopotamia.
  • E. Seabreeze
    Seabreeze was a former neighboring city to Daytona Beach, Florida, that was eventually incorporated into the larger Daytona Beach municipality.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1a28688190ab9fd1307bc76b4a completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af73e6348190be114e8c5ad181bf completed May 3, 2026, 2:14 a.m.
NEDg Description generation batch_69f6b066f3888190b925e5a43be57965 completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1ae645c8190a7c3e5f926c6a487 completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:43 p.m.