Triple

T38044796
Position Surface form Disambiguated ID Type / Status
Subject Axiom Space E949587 entity
Predicate roleOfMichael T. Suffredini P192619 FINISHED
Object co-founder and CEO LITERAL 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: co-founder and CEO | Statement: [Axiom Space, roleOfMichael T. Suffredini, co-founder and CEO]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleOfMichael T. Suffredini
Context triple: [Axiom Space, roleOfMichael T. Suffredini, co-founder and CEO]
  • A. roleOfLeonard S. Schleifer
    Indicates that the specified entity holds or has held a particular professional or organizational role associated with Leonard S. Schleifer.
  • B. Giorgio Di Centa
    Indicates a relationship or action involving Giorgio Di Centa, typically linking him to roles, achievements, or associations in a given context.
  • C. Michael B. OlbrichRole
    Indicates the specific role, position, or function that Michael B. Olbrich holds or performs in relation to another entity or context.
  • D. KarlVonMüllerRole
    Indicates that an entity holds or is assigned the role or position associated with Karl von Müller.
  • E. foundingDirector
    Indicates that one entity is the original director who established or helped establish the other entity (such as an organization, project, or institution).
  • F. None of above. chosen

Provenance (4 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_69f76eff0bb0819084bc4e63997bd039 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fd19f791f48190bbb6f6047f9ddc59 completed May 7, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69fd0df365948190bc9bfc7ffd46acd8 completed May 7, 2026, 10:10 p.m.
PDg Predicate description generation batch_69fd19f6a7888190aa7eee2b87687c53 completed May 7, 2026, 11:02 p.m.
Created at: May 3, 2026, 4:20 p.m.