Triple

T32732303

Position	Surface form	Disambiguated ID	Type / Status
Subject	Little Bastard	`E836985`	entity
Predicate	hasPassengerAtFatalCrash	`P115240`	FINISHED
Object	Rolf Wütherich Rolf Wütherich was a German Porsche mechanic and racing car engineer best known as the passenger who survived the 1955 car crash that killed actor James Dean.	`E2147607`	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: Rolf Wütherich | Statement: [Little Bastard, hasPassengerAtFatalCrash, Rolf Wütherich]

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: Rolf Wütherich
Triple: [Little Bastard, hasPassengerAtFatalCrash, Rolf Wütherich]

Generated description

Rolf Wütherich was a German Porsche mechanic and racing car engineer best known as the passenger who survived the 1955 car crash that killed actor James Dean.

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

Target predicate: hasPassengerAtFatalCrash
Context triple: [Little Bastard, hasPassengerAtFatalCrash, Rolf Wütherich]

A. coPassengerInFatalCrashWith chosen
Indicates that two or more individuals were passengers in the same vehicle involved in a fatal crash.
B. hasModeOfTransportInAccident
Indicates that a specific mode of transport was involved in an accident associated with the given entity.
C. fatalitiesOnboard
Indicates that the relationship specifies the number of people who died among those present on a particular vehicle or craft.
D. pilotAtFatalCrash
Indicates that the specified person was serving as the pilot at the time and location of a fatal crash.
E. hasThroughPassengersWith
Indicates that two transportation segments, services, or locations are connected by passengers who travel through them without starting or ending their journey there.
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_69f34935fb048190ad4967420581f835`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_69ff17be6ad48190963206f2619b1b28`	completed	May 9, 2026, 11:17 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a385bb22d0c8190a2fbb1d8f570d805`	completed	June 21, 2026, 9:46 p.m.
NEDg	Description generation	`batch_6a385cfee66c8190a546393089b8d789`	completed	June 21, 2026, 9:51 p.m.
NED2	Entity disambiguation (via description)	`batch_6a385df5220881908ae1a6c6e999e3fa`	completed	June 21, 2026, 9:56 p.m.
PD	Predicate disambiguation	`batch_69ff1724ba24819092c928fcbcb286ec`	completed	May 9, 2026, 11:14 a.m.

Created at: May 1, 2026, 1:11 a.m.