Triple

T14212265
Position Surface form Disambiguated ID Type / Status
Subject Michelle Cliff E352260 entity
Predicate notableWork P4 FINISHED
Object Abeng
Abeng is a semi-autobiographical coming-of-age novel by Michelle Cliff that explores race, gender, colonialism, and identity in mid-20th-century Jamaica.
 E1085931 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: Abeng | Statement: [Michelle Cliff, notableWork, Abeng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abeng
Context triple: [Michelle Cliff, notableWork, Abeng]
  • A. Abule
    "Abule" is a popular Afrobeat song by Nigerian artist Patoranking that celebrates community life and nostalgic memories of his hometown.
  • B. Abena
    "Abena" is a popular Afrobeats song by Ghanaian singer King Promise, known for its smooth melodies and romantic lyrics.
  • C. Enenga
    Enenga is a dialect of the Myene language spoken by communities in Gabon.
  • D. Abijam
    Abijam is a biblical king of Judah, known from the Hebrew Bible as a short-reigning successor of Rehoboam and a descendant of King David.
  • E. Abure
    Abure is a Central Tano language spoken primarily in Côte d’Ivoire by the Abure people.
  • 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: Abeng
Triple: [Michelle Cliff, notableWork, Abeng]
Generated description
Abeng is a semi-autobiographical coming-of-age novel by Michelle Cliff that explores race, gender, colonialism, and identity in mid-20th-century Jamaica.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abeng
Target entity description: Abeng is a semi-autobiographical coming-of-age novel by Michelle Cliff that explores race, gender, colonialism, and identity in mid-20th-century Jamaica.
  • A. Abule
    "Abule" is a popular Afrobeat song by Nigerian artist Patoranking that celebrates community life and nostalgic memories of his hometown.
  • B. Abena
    "Abena" is a popular Afrobeats song by Ghanaian singer King Promise, known for its smooth melodies and romantic lyrics.
  • C. Enenga
    Enenga is a dialect of the Myene language spoken by communities in Gabon.
  • D. Abijam
    Abijam is a biblical king of Judah, known from the Hebrew Bible as a short-reigning successor of Rehoboam and a descendant of King David.
  • E. Abure
    Abure is a Central Tano language spoken primarily in Côte d’Ivoire by the Abure people.
  • 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.