Triple

T11885622
Position Surface form Disambiguated ID Type / Status
Subject Ibrahim Khan Gardi E282772 entity
Predicate nickname P55 FINISHED
Object Gardi
Gardi is the nickname of Ibrahim Khan Gardi, an 18th-century Indian military commander renowned for leading artillery forces in the Third Battle of Panipat.
 E952048 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: Gardi | Statement: [Ibrahim Khan Gardi, nickname, Gardi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gardi
Context triple: [Ibrahim Khan Gardi, nickname, Gardi]
  • A. 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."
  • B. Gardish
    Gardish is a 1993 Hindi action-drama film directed by Priyadarshan, known for Dimple Kapadia’s acclaimed performance alongside Jackie Shroff.
  • C. 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.
  • D. Guardea
    Guardea is a small Italian town and comune in the Umbria region, known for its medieval historic center and scenic position overlooking the Tiber Valley.
  • E. 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.
  • 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: Gardi
Triple: [Ibrahim Khan Gardi, nickname, Gardi]
Generated description
Gardi is the nickname of Ibrahim Khan Gardi, an 18th-century Indian military commander renowned for leading artillery forces in the Third Battle of Panipat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gardi
Target entity description: Gardi is the nickname of Ibrahim Khan Gardi, an 18th-century Indian military commander renowned for leading artillery forces in the Third Battle of Panipat.
  • A. 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."
  • B. Gardish
    Gardish is a 1993 Hindi action-drama film directed by Priyadarshan, known for Dimple Kapadia’s acclaimed performance alongside Jackie Shroff.
  • C. 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.
  • D. Guardea
    Guardea is a small Italian town and comune in the Umbria region, known for its medieval historic center and scenic position overlooking the Tiber Valley.
  • E. 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.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a13370819086386fecb99e4f0b completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281f488a8819082f40dfdd12f29a2 completed April 29, 2026, 10:11 p.m.
NEDg Description generation batch_69f2d6da770481908cd8787ba6b5763b completed April 30, 2026, 4:13 a.m.
NED2 Entity disambiguation (via description) batch_69f2dc57c3888190920b4275ed0b5bff completed April 30, 2026, 4:36 a.m.
Created at: April 8, 2026, 9:44 p.m.