Triple

T25564673
Position Surface form Disambiguated ID Type / Status
Subject Intel Haswell microarchitecture E640802 entity
Predicate graphicsBranding P63807 FINISHED
Object Intel Iris Graphics
Intel Iris Graphics is a family of integrated graphics processors from Intel designed to deliver enhanced visual performance and multimedia capabilities in laptops and compact systems.
E1690634 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: Intel Iris Graphics | Statement: [Intel Haswell microarchitecture, graphicsBranding, Intel Iris Graphics]
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: Intel Iris Graphics
Triple: [Intel Haswell microarchitecture, graphicsBranding, Intel Iris Graphics]
Generated description
Intel Iris Graphics is a family of integrated graphics processors from Intel designed to deliver enhanced visual performance and multimedia capabilities in laptops and compact systems.

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_69e75dc1beb08190bac7d76b8d6e7bc4 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f8fb94b48190b135b603667279a7 completed May 2, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10c131a73c8190988bd4ad38b2246e completed May 22, 2026, 8:48 p.m.
NEDg Description generation batch_6a10c2eee95481908b782308c2a2e5cc completed May 22, 2026, 8:56 p.m.
NED2 Entity disambiguation (via description) batch_6a10c365b12c8190bc9b683ad855c776 completed May 22, 2026, 8:58 p.m.
Created at: April 21, 2026, 3:48 p.m.