Triple

T25177314

Position	Surface form	Disambiguated ID	Type / Status
Subject	Intel Pentium M	`E630482`	entity
Predicate	secondGenerationCodename	`P169511`	FINISHED
Object	Dothan Dothan is the codename for Intel’s second-generation Pentium M mobile processor core, known for its 90 nm process and improved performance and power efficiency over its predecessor.	`E1671915`	NE FINISHED

How this triple was built (3 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: Dothan | Statement: [Intel Pentium M, secondGenerationCodename, Dothan]

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: Dothan
Triple: [Intel Pentium M, secondGenerationCodename, Dothan]

Generated description

Dothan is the codename for Intel’s second-generation Pentium M mobile processor core, known for its 90 nm process and improved performance and power efficiency over its predecessor.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: secondGenerationCodename
Context triple: [Intel Pentium M, secondGenerationCodename, Dothan]

A. secondGenerationName
Indicates that the object is the name given to the second generation derived from the subject.
B. secondGenerationReleaseDate
Indicates the date on which the second generation or version of an item was officially released.
C. secondGenerationPlatform
Indicates that an entity is a second-generation version of a platform, typically representing an updated or improved iteration of an earlier platform.
D. successorCodename
Indicates that one codename directly follows and replaces another in a sequence or lifecycle.
E. secondGeneration
Indicates that one entity belongs to the second generation relative to another, such as being the child of a first-generation member in a lineage or sequence.
F. None of above. chosen

Provenance (7 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_69e75a88fdf081908e47ae6e195c14e1`	completed	April 21, 2026, 11:07 a.m.
NER	Named-entity recognition	`batch_69f67fc237608190b6542b56038a7fe4`	completed	May 2, 2026, 10:50 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1067c8430c8190b3d8046c265c9800`	completed	May 22, 2026, 2:27 p.m.
NEDg	Description generation	`batch_6a10695d0e648190b51f82934d5f2800`	completed	May 22, 2026, 2:34 p.m.
NED2	Entity disambiguation (via description)	`batch_6a1069cb170c8190b31daf74fff26c35`	completed	May 22, 2026, 2:35 p.m.
PD	Predicate disambiguation	`batch_69f67e3ed894819094c067c1ef624951`	completed	May 2, 2026, 10:44 p.m.
PDg	Predicate description generation	`batch_69f67f0353c88190a05b2db449abe0f4`	completed	May 2, 2026, 10:47 p.m.

Created at: April 21, 2026, 12:34 p.m.