Triple

T28617902
Position Surface form Disambiguated ID Type / Status
Subject FIDO Alliance E724312 entity
Predicate fullName P16 FINISHED
Object Fast IDentity Online Alliance
Fast IDentity Online Alliance is an industry consortium that develops and promotes open authentication standards to reduce reliance on passwords and enhance secure, user-friendly online identity verification.
E1825214 NE FINISHED

How this triple was built (2 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: Fast IDentity Online Alliance | Statement: [FIDO Alliance, fullName, Fast IDentity Online Alliance]
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: Fast IDentity Online Alliance
Triple: [FIDO Alliance, fullName, Fast IDentity Online Alliance]
Generated description
Fast IDentity Online Alliance is an industry consortium that develops and promotes open authentication standards to reduce reliance on passwords and enhance secure, user-friendly online identity verification.

Provenance (5 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_69f01d822ac08190932de59ec2268ed2 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f65246b3988190929e550617990982 completed May 2, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cb70f7b008190b012a9e6dfd76d3c completed May 31, 2026, 10:32 p.m.
NEDg Description generation batch_6a1cba6346dc8190a7e92e045ccb035c completed May 31, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_6a1cbae69fcc819089e092d9f9a0e0ba completed May 31, 2026, 10:49 p.m.
Created at: April 28, 2026, 4:32 a.m.