Triple

T24991966
Position Surface form Disambiguated ID Type / Status
Subject Amin Maalouf E625469 entity
Predicate notableWork P4 FINISHED
Object The Crusades Through Arab Eyes
The Crusades Through Arab Eyes is a historical narrative by Amin Maalouf that recounts the Crusades from the perspective of Arab chroniclers and societies.
E1660035 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: The Crusades Through Arab Eyes | Statement: [Amin Maalouf, notableWork, The Crusades Through Arab Eyes]
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 Crusades Through Arab Eyes
Triple: [Amin Maalouf, notableWork, The Crusades Through Arab Eyes]
Generated description
The Crusades Through Arab Eyes is a historical narrative by Amin Maalouf that recounts the Crusades from the perspective of Arab chroniclers and societies.

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_69e2ff2611c081908710457fbe6d376b completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f44a4639e8819090ce27c835eec2f0 completed May 1, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a103367eca08190a5cb236020e2dd91 completed May 22, 2026, 10:43 a.m.
NEDg Description generation batch_6a103440175081908c16266d18fa3f7f completed May 22, 2026, 10:47 a.m.
NED2 Entity disambiguation (via description) batch_6a1034fb076881908947b97895c6bbc1 completed May 22, 2026, 10:50 a.m.
Created at: April 18, 2026, 6:03 a.m.