Triple

T35919968
Position Surface form Disambiguated ID Type / Status
Subject Maqamat al-Hariri E1038853 entity
Predicate influencedBy P9 FINISHED
Object Badiʿ al-Zaman al-Hamadhani
Badiʿ al-Zaman al-Hamadhani was a 10th-century Persian-Arabic prose stylist and innovator credited with creating the maqama literary genre, blending rhymed prose, poetry, and picaresque storytelling.
 E2167874 NE FINISHED

How this triple was built (2 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: Badiʿ al-Zaman al-Hamadhani | Statement: [Maqamat al-Hariri, influencedBy, Badiʿ al-Zaman al-Hamadhani]
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: Badiʿ al-Zaman al-Hamadhani
Triple: [Maqamat al-Hariri, influencedBy, Badiʿ al-Zaman al-Hamadhani]
Generated description
Badiʿ al-Zaman al-Hamadhani was a 10th-century Persian-Arabic prose stylist and innovator credited with creating the maqama literary genre, blending rhymed prose, poetry, and picaresque storytelling.

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_69f76e2320748190b7f5c4750d0cd0d3 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aaa9ba18819082a9b86a87e82f75 completed May 3, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38d52633348190a42d614b67a6b937 completed June 22, 2026, 6:24 a.m.
NEDg Description generation batch_6a38d5e83b58819080bd6a95a17f6b2b completed June 22, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_6a38d67cd2c081908e943d16fade52ed completed June 22, 2026, 6:30 a.m.
Created at: May 3, 2026, 4:07 p.m.