Triple

T33083556
Position Surface form Disambiguated ID Type / Status
Subject Lord of Ibelin E846569 entity
Predicate associatedWith P37 FINISHED
Object Crusader aristocracy
The Crusader aristocracy was the feudal noble class that ruled and administered the Latin Christian states established in the Levant during the medieval Crusades.
E98522 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: Crusader aristocracy | Statement: [Lord of Ibelin, associatedWith, Crusader aristocracy]
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: Crusader aristocracy
Triple: [Lord of Ibelin, associatedWith, Crusader aristocracy]
Generated description
The Crusader aristocracy was the feudal noble class that ruled and administered the Latin Christian states established in the Levant during the medieval Crusades.

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_69f34954d46c8190a04a159cc5f99efd completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d61f114081908d17a5b53ecc14b7 completed May 3, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34f020c6188190858c3fe60cdf59d7 completed June 19, 2026, 7:30 a.m.
NEDg Description generation batch_6a34f91368748190a0f1de81dc60e15e completed June 19, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_6a3506a26da4819088a4fe7fd48e4a1f completed June 19, 2026, 9:06 a.m.
Created at: May 1, 2026, 1:26 a.m.