Triple

T8486121
Position Surface form Disambiguated ID Type / Status
Subject Trash E200835 entity
Predicate mainCharacter P1183 FINISHED
Object Gardo
Gardo is one of the three impoverished boys who uncover a dangerous secret while scavenging through a landfill in Andy Mulligan’s novel "Trash."
 E739825 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: Gardo | Statement: [Trash, mainCharacter, Gardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gardo
Context triple: [Trash, mainCharacter, Gardo]
  • A. Gardon
    The Gardon is a river in southern France known for flowing through the Gard department and beneath the famous Pont du Gard Roman aqueduct.
  • B. Garnata
    Garnata is an alternate transliteration of "Gharnāṭa," the Arabic name historically used for the city of Granada in Spain.
  • C. Gardein
    Gardein is a plant-based food brand known for its wide range of meatless products such as chicken, beef, and fish alternatives made from soy, wheat, and pea proteins.
  • D. Gavicalis
    Gavicalis is a genus of Australasian honeyeaters, comprising small to medium-sized nectar-feeding birds known for their brush-tipped tongues and association with flowering habitats.
  • E. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • 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: Gardo
Triple: [Trash, mainCharacter, Gardo]
Generated description
Gardo is one of the three impoverished boys who uncover a dangerous secret while scavenging through a landfill in Andy Mulligan’s novel "Trash."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gardo
Target entity description: Gardo is one of the three impoverished boys who uncover a dangerous secret while scavenging through a landfill in Andy Mulligan’s novel "Trash."
  • A. Gardon
    The Gardon is a river in southern France known for flowing through the Gard department and beneath the famous Pont du Gard Roman aqueduct.
  • B. Garnata
    Garnata is an alternate transliteration of "Gharnāṭa," the Arabic name historically used for the city of Granada in Spain.
  • C. Gardein
    Gardein is a plant-based food brand known for its wide range of meatless products such as chicken, beef, and fish alternatives made from soy, wheat, and pea proteins.
  • D. Gavicalis
    Gavicalis is a genus of Australasian honeyeaters, comprising small to medium-sized nectar-feeding birds known for their brush-tipped tongues and association with flowering habitats.
  • E. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4df197c48190812c5287119e5528 completed April 2, 2026, 11:07 a.m.
NEDg Description generation batch_69ce4ff668d4819081f4c3186437291b completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce54cc52cc81908ca48c93956ca86e completed April 2, 2026, 11:36 a.m.
Created at: March 30, 2026, 6:12 p.m.