Triple

T27703762
Position Surface form Disambiguated ID Type / Status
Subject Shadowhunter universe E698494 entity
Predicate lawEnforcementOrganization P163332 FINISHED
Object Iron Sisters
The Iron Sisters are a militant order of warrior-nuns in the Shadowhunter universe who forge and guard the angelic weapons and tools used by Shadowhunters.
E1786232 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: Iron Sisters | Statement: [Shadowhunter universe, lawEnforcementOrganization, Iron Sisters]
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: Iron Sisters
Triple: [Shadowhunter universe, lawEnforcementOrganization, Iron Sisters]
Generated description
The Iron Sisters are a militant order of warrior-nuns in the Shadowhunter universe who forge and guard the angelic weapons and tools used by Shadowhunters.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lawEnforcementOrganization
Context triple: [Shadowhunter universe, lawEnforcementOrganization, Iron Sisters]
  • A. lawEnforcementOrganization chosen
    Indicates that the subject is an organization whose primary role is to enforce laws and maintain public order.
  • B. enforcementAgency
    Indicates that one entity serves as the authority responsible for enforcing laws, rules, or regulations related to another entity.
  • C. policeBureau
    Indicates that an entity functions as or is associated with a police bureau or police department.
  • D. lawEnforcementLabel
    Indicates that an entity has been designated, tagged, or classified by a law enforcement authority for monitoring, identification, or investigative purposes.
  • E. hasPoliceInstitution
    Indicates that an entity is associated with, governed by, or served by a particular police institution or law enforcement body.
  • 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_69ef590ea74081908f0cd7500d85fa27 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f63894e5848190aec428392562ab06 completed May 2, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e45d4f80819084d10e56eede036c completed May 24, 2026, 11:43 a.m.
NEDg Description generation batch_6a12e4fca4088190b20187243cbf974e completed May 24, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_6a12e606bc688190958b5e84777566fb completed May 24, 2026, 11:50 a.m.
PD Predicate disambiguation batch_69f6370c8c7c8190a02ea82847bb6e76 completed May 2, 2026, 5:40 p.m.
Created at: April 27, 2026, 2:58 p.m.