Triple

T33602968

Position	Surface form	Disambiguated ID	Type / Status
Subject	The Crew (Memphis Raines’ team)	`E860769`	entity
Predicate	signatureCarCodename	`P32834`	FINISHED
Object	Eleanor Eleanor is the iconic customized 1967 Ford Mustang fastback featured as the coveted car in the film "Gone in 60 Seconds."	`E2062948`	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: Eleanor | Statement: [The Crew (Memphis Raines’ team), signatureCarCodename, Eleanor]

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: Eleanor
Triple: [The Crew (Memphis Raines’ team), signatureCarCodename, Eleanor]

Generated description

Eleanor is the iconic customized 1967 Ford Mustang fastback featured as the coveted car in the film "Gone in 60 Seconds."

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

Target predicate: signatureCarCodename
Context triple: [The Crew (Memphis Raines’ team), signatureCarCodename, Eleanor]

A. successorCodename
Indicates that one codename directly follows and replaces another in a sequence or lifecycle.
B. relatedCodename chosen
Indicates that one entity has an associated or connected codename that is contextually related to it.
C. servesCodename
Indicates that one entity provides or uses another entity under a specific codename or alias.
D. hardwareCodename
Indicates that one entity is the internal or code name assigned to a particular hardware product or component.
E. securityCodename
Indicates that an entity is assigned a specific codename used for security, confidentiality, or protective identification purposes.
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_69f3497f35908190a2e9bbb9b96c7a3f`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_69f6f7dc00e88190bae070a955dd6b95`	completed	May 3, 2026, 7:23 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a363c81558c8190bc6dd14913506d6b`	completed	June 20, 2026, 7:08 a.m.
NEDg	Description generation	`batch_6a36441743048190b9b52295a4397cb5`	completed	June 20, 2026, 7:41 a.m.
NED2	Entity disambiguation (via description)	`batch_6a3644b81cdc819080dfabb8bca30d53`	completed	June 20, 2026, 7:43 a.m.
PD	Predicate disambiguation	`batch_69f6f6632dfc8190af85e258c8519207`	completed	May 3, 2026, 7:16 a.m.

Created at: May 1, 2026, 1:41 a.m.