Triple

T13006475
Position Surface form Disambiguated ID Type / Status
Subject Pleasant Hannibal Clemens E322301 entity
Predicate givenName P17 FINISHED
Object Pleasant
Pleasant is a given name historically used in English-speaking countries, notably borne by figures such as Pleasant Hannibal Clemens.
E1015883 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: Pleasant | Statement: [Pleasant Hannibal Clemens, givenName, Pleasant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pleasant
Context triple: [Pleasant Hannibal Clemens, givenName, Pleasant]
  • A. Nice
    Nice is a cabin class offered by Breeze Airways that provides a standard, budget-friendly economy experience for passengers.
  • B. Nice
    Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
  • C. Pleasured
    Pleasured is a novel by British writer Philip Hensher, known for its darkly comic and satirical exploration of contemporary life and relationships.
  • D. Peaceful Easy Feeling
    "Peaceful Easy Feeling" is a mellow, country-rock song by the Eagles, known for its soothing harmonies and laid-back, romantic vibe.
  • E. Lovely
    "Lovely" is a haunting, melancholic pop ballad by Billie Eilish and Khalid that gained widespread acclaim for its emotional depth and atmospheric production.
  • 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: Pleasant
Triple: [Pleasant Hannibal Clemens, givenName, Pleasant]
Generated description
Pleasant is a given name historically used in English-speaking countries, notably borne by figures such as Pleasant Hannibal Clemens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pleasant
Target entity description: Pleasant is a given name historically used in English-speaking countries, notably borne by figures such as Pleasant Hannibal Clemens.
  • A. Nice
    Nice is a cabin class offered by Breeze Airways that provides a standard, budget-friendly economy experience for passengers.
  • B. Nice
    Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
  • C. Pleasured
    Pleasured is a novel by British writer Philip Hensher, known for its darkly comic and satirical exploration of contemporary life and relationships.
  • D. Peaceful Easy Feeling
    "Peaceful Easy Feeling" is a mellow, country-rock song by the Eagles, known for its soothing harmonies and laid-back, romantic vibe.
  • E. Lovely
    "Lovely" is a haunting, melancholic pop ballad by Billie Eilish and Khalid that gained widespread acclaim for its emotional depth and atmospheric production.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9b27ec8190815c40a05b9ba7d0 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c109e59481909fc46b152034c6a9 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c20a1eb881908a28dc884c2005ef completed May 3, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f6c34b9ec08190bb29458b6f43c388 completed May 3, 2026, 3:38 a.m.
Created at: April 9, 2026, 8:48 p.m.