Triple

T24575589
Position Surface form Disambiguated ID Type / Status
Subject Faraday Future E608093 entity
Predicate announcedFirstProductionModel P87503 FINISHED
Object FF 91
The FF 91 is Faraday Future’s flagship all-electric luxury SUV, designed to showcase advanced performance, connectivity, and autonomous driving technologies.
 E1641850 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: FF 91 | Statement: [Faraday Future, announcedFirstProductionModel, FF 91]
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: FF 91
Triple: [Faraday Future, announcedFirstProductionModel, FF 91]
Generated description
The FF 91 is Faraday Future’s flagship all-electric luxury SUV, designed to showcase advanced performance, connectivity, and autonomous driving technologies.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: announcedFirstProductionModel
Context triple: [Faraday Future, announcedFirstProductionModel, FF 91]
  • A. firstModelIntroduced
    Indicates that one entity is the earliest or original model introduced in relation to another entity or context.
  • B. firstProductAnnounced chosen
    Indicates that an entity is the earliest (chronologically first) product publicly announced by another entity.
  • C. firstProductionYear
    Indicates the year in which something (such as a product, work, or item) was first produced.
  • D. productionModelDebut
    Indicates the event or point in time when a model first enters official production or is publicly released as a production version.
  • E. modelProduced
    Indicates that a particular model has generated or produced a specified output, result, or artifact.
  • 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_69e2c4cdab6c8190aae6e5d3de55c95e completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a928896c8190af385755b1418ba6 completed April 30, 2026, 12:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff870efa081909cd33308e13258b9 completed May 22, 2026, 6:32 a.m.
NEDg Description generation batch_6a0ff96d423881908d81db0b6bc78921 completed May 22, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0ffa8bb5208190b473d834c40e7ef3 completed May 22, 2026, 6:41 a.m.
PD Predicate disambiguation batch_69f2a6c1f07081908edf0b521767e79b completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:29 a.m.