Triple

T25782259
Position Surface form Disambiguated ID Type / Status
Subject Team Rubicon E649320 entity
Predicate volunteerDesignation P114544 FINISHED
Object Greyshirts
Greyshirts are the trained volunteer members of Team Rubicon who deploy to provide disaster response and humanitarian aid.
 E1693682 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: Greyshirts | Statement: [Team Rubicon, volunteerDesignation, Greyshirts]
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: Greyshirts
Triple: [Team Rubicon, volunteerDesignation, Greyshirts]
Generated description
Greyshirts are the trained volunteer members of Team Rubicon who deploy to provide disaster response and humanitarian aid.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: volunteerDesignation
Context triple: [Team Rubicon, volunteerDesignation, Greyshirts]
  • A. volunteerLabel chosen
    Indicates that an entity is identified or tagged as a volunteer in relation to another entity or context.
  • B. typeOfVolunteerUnit
    Indicates that one entity is a specific kind or category of volunteer unit in relation to another entity.
  • C. volunteeredFor
    Indicates that an entity willingly offered their time or services to support or participate in an activity, cause, or organization.
  • D. hasVolunteerStatus
    Indicates that an entity holds a particular volunteer-related status or role within a specified context.
  • E. hasVolunteerPersonnelFrom
    Indicates that an entity receives or utilizes volunteer personnel supplied by another entity or source.
  • 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_69e7ab33e9308190afe415dc6f9e8876 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f5fe6175048190afd845628c74830e completed May 2, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10cc25e33c8190bfda13a0cda830fe completed May 22, 2026, 9:35 p.m.
NEDg Description generation batch_6a10ccedad64819080986fe4cae5a969 completed May 22, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_6a10cdf9537481909131c59b126e69b6 completed May 22, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69f4938b960081909b53c074a3e0c7c2 completed May 1, 2026, 11:50 a.m.
Created at: April 22, 2026, 5:51 a.m.