Triple

T30402992
Position Surface form Disambiguated ID Type / Status
Subject Constantine of Baberon E773400 entity
Predicate positionHeld P8 FINISHED
Object constable of Cilicia
The constable of Cilicia was a high-ranking military and administrative office in the Armenian Kingdom of Cilicia, responsible for commanding the army and overseeing aspects of royal governance.
E1913952 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: constable of Cilicia | Statement: [Constantine of Baberon, positionHeld, constable of Cilicia]
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: constable of Cilicia
Triple: [Constantine of Baberon, positionHeld, constable of Cilicia]
Generated description
The constable of Cilicia was a high-ranking military and administrative office in the Armenian Kingdom of Cilicia, responsible for commanding the army and overseeing aspects of royal governance.

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_69f2248facd48190b183c3f3ca6daef7 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6861bcab481908946ee2d27a187c8 completed May 2, 2026, 11:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2789589f7c8190833bb3c638433f77 completed June 9, 2026, 3:32 a.m.
NEDg Description generation batch_6a278a5d184081908fbaf650cb44e2b7 completed June 9, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_6a278cda6ab8819097cd6e2f0b1124c1 completed June 9, 2026, 3:47 a.m.
Created at: April 29, 2026, 8:03 p.m.