Triple

T9461732
Position Surface form Disambiguated ID Type / Status
Subject Abdur Rahman Khan E228161 entity
Predicate knownAs P39 FINISHED
Object Iron Amir
Iron Amir is the epithet of Abdur Rahman Khan, the powerful and authoritarian 19th-century emir who unified and centralized Afghanistan through strict rule.
E800962 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: Iron Amir | Statement: [Abdur Rahman Khan, knownAs, Iron Amir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iron Amir
Context triple: [Abdur Rahman Khan, knownAs, Iron Amir]
  • A. Beni-Amir
    Beni-Amir is a subgroup of the Beja people, an Afro-Asiatic ethnic group traditionally inhabiting regions of northeastern Africa such as Sudan and Eritrea.
  • B. Namir
    Namir is a Hebrew surname most notably associated with Israeli politician and former Tel Aviv mayor Mordechai Namir.
  • C. Mirzam
    Mirzam is a bright blue-white giant star in the constellation Canis Major, known as one of the prominent stars near Sirius in the winter sky.
  • D. Eskandarian
    Eskandarian is a surname most notably associated with Alecko Eskandarian, a former professional American soccer player and coach.
  • E. Arman
    Arman was a French-born American artist best known for his pioneering work in Nouveau Réalisme, particularly his accumulations and destructions of everyday objects as sculptural and conceptual art.
  • 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: Iron Amir
Triple: [Abdur Rahman Khan, knownAs, Iron Amir]
Generated description
Iron Amir is the epithet of Abdur Rahman Khan, the powerful and authoritarian 19th-century emir who unified and centralized Afghanistan through strict rule.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Iron Amir
Target entity description: Iron Amir is the epithet of Abdur Rahman Khan, the powerful and authoritarian 19th-century emir who unified and centralized Afghanistan through strict rule.
  • A. Beni-Amir
    Beni-Amir is a subgroup of the Beja people, an Afro-Asiatic ethnic group traditionally inhabiting regions of northeastern Africa such as Sudan and Eritrea.
  • B. Namir
    Namir is a Hebrew surname most notably associated with Israeli politician and former Tel Aviv mayor Mordechai Namir.
  • C. Mirzam
    Mirzam is a bright blue-white giant star in the constellation Canis Major, known as one of the prominent stars near Sirius in the winter sky.
  • D. Eskandarian
    Eskandarian is a surname most notably associated with Alecko Eskandarian, a former professional American soccer player and coach.
  • E. Arman
    Arman was a French-born American artist best known for his pioneering work in Nouveau Réalisme, particularly his accumulations and destructions of everyday objects as sculptural and conceptual art.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fcc8b1881908aa6ee13ab195330 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1229ec9448190bac9b7a38e030833 completed April 4, 2026, 2:39 p.m.
NEDg Description generation batch_69d1245db2e48190a56a797a681316d9 completed April 4, 2026, 2:46 p.m.
NED2 Entity disambiguation (via description) batch_69d124c2a48c819098a24dd2aac734e1 completed April 4, 2026, 2:48 p.m.
Created at: March 30, 2026, 7:52 p.m.