Triple

T38190927

Position	Surface form	Disambiguated ID	Type / Status
Subject	David Ragan	`E1005456`	entity
Predicate	hasCarMakeDriven	`P200399`	FINISHED
Object	Ford Ford is a major American automobile manufacturer known for pioneering mass production and producing popular models such as the Mustang and F-150.	`E1465782`	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: Ford | Statement: [David Ragan, hasCarMakeDriven, Ford]

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: Ford
Triple: [David Ragan, hasCarMakeDriven, Ford]

Generated description

Ford is a major American automobile manufacturer known for pioneering mass production and producing popular models such as the Mustang and F-150.

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

Target predicate: hasCarMakeDriven
Context triple: [David Ragan, hasCarMakeDriven, Ford]

A. hasDrivenInCategory
Indicates that an entity has previously driven or operated a vehicle within a specified driving category or classification.
B. previouslyDroveCarModel chosen
Indicates that an entity drove a particular car model at some time in the past.
C. isDriven
Indicates that one entity operates or controls the movement of another entity, typically a vehicle or device.
D. droveFor
Indicates that one entity operated a vehicle on behalf of, or in service to, another entity for a certain period or purpose.
E. canDrive
Indicates that one entity has the ability or permission to operate a vehicle or drive another entity.
F. None of above.

Provenance (6 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_69f76dbd22f48190940318cea061e8bb`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_6a00532815c881908f10d9594458b3d7`	completed	May 10, 2026, 9:43 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a417b4182488190b98f8120c35aee16`	completed	June 28, 2026, 7:51 p.m.
NEDg	Description generation	`batch_6a417d2a511081909f4baa1eaa77899f`	completed	June 28, 2026, 7:59 p.m.
NED2	Entity disambiguation (via description)	`batch_6a417daed5e08190bb5482e6a4a70c98`	completed	June 28, 2026, 8:01 p.m.
PD	Predicate disambiguation	`batch_6a0052b9f030819081b8105bdcaf6d8f`	completed	May 10, 2026, 9:41 a.m.

Created at: May 3, 2026, 4:29 p.m.