Triple

T15537979
Position Surface form Disambiguated ID Type / Status
Subject A. A. Gill E370398 entity
Predicate notableWork P4 FINISHED
Object The Angry Island
The Angry Island is a book by A. A. Gill that offers a sharp, often caustic cultural critique of England and the English.
E1162142 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: The Angry Island | Statement: [A. A. Gill, notableWork, The Angry Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Angry Island
Context triple: [A. A. Gill, notableWork, The Angry Island]
  • A. Trinket Island
    Trinket Island is a small island in India’s remote Nicobar archipelago in the eastern Indian Ocean.
  • B. Switch Island
    Switch Island is a major road junction in Merseyside, England, where several key routes including motorways and A-roads converge.
  • C. Little Girl Island
    Little Girl Island is the English meaning of the Spanish name "Isla Nena," often used as a poetic or affectionate reference to the Puerto Rican island of Vieques.
  • D. Viper Island
    Viper Island is a small historic island in the Andaman archipelago, known for its former British-era prison ruins and proximity to Port Blair.
  • E. The Angry Hills
    The Angry Hills is a 1959 war drama film set in Nazi-occupied Greece, known for its tense espionage plot and starring Robert Mitchum and Gia Scala.
  • 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: The Angry Island
Triple: [A. A. Gill, notableWork, The Angry Island]
Generated description
The Angry Island is a book by A. A. Gill that offers a sharp, often caustic cultural critique of England and the English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Angry Island
Target entity description: The Angry Island is a book by A. A. Gill that offers a sharp, often caustic cultural critique of England and the English.
  • A. Trinket Island
    Trinket Island is a small island in India’s remote Nicobar archipelago in the eastern Indian Ocean.
  • B. Switch Island
    Switch Island is a major road junction in Merseyside, England, where several key routes including motorways and A-roads converge.
  • C. Little Girl Island
    Little Girl Island is the English meaning of the Spanish name "Isla Nena," often used as a poetic or affectionate reference to the Puerto Rican island of Vieques.
  • D. Viper Island
    Viper Island is a small historic island in the Andaman archipelago, known for its former British-era prison ruins and proximity to Port Blair.
  • E. The Angry Hills
    The Angry Hills is a 1959 war drama film set in Nazi-occupied Greece, known for its tense espionage plot and starring Robert Mitchum and Gia Scala.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0442f3c688190a599165e526af2ed completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d626e688190bd93481cfd6cb255 completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3f075bb881908c254137ca7c3f9f completed May 9, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69ff3f87f788819080eccae52b0df145 completed May 9, 2026, 2:07 p.m.
Created at: April 10, 2026, 4:06 a.m.