Triple

T3389169
Position Surface form Disambiguated ID Type / Status
Subject Cerulean Chapter E71375 entity
Predicate hasRoles P161 FINISHED
Object specialized roles within Time Lord society 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: specialized roles within Time Lord society | Statement: [Cerulean Chapter, hasRoles, specialized roles within Time Lord society]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRoles
Context triple: [Cerulean Chapter, hasRoles, specialized roles within Time Lord society]
  • A. hasRole chosen
    Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
  • B. hasLegalRole
    Indicates that an entity holds a specific legal capacity, status, or function in relation to another entity or context.
  • C. hasGlobalRole
    Indicates that an entity holds a role or permission set that applies across an entire system or domain, rather than being limited to a specific scope or context.
  • D. hasSafetyRole
    Indicates that an entity holds a responsibility or function related to safety within a given context or system.
  • E. requiresRole
    Indicates that performing an action or accessing a resource is contingent on the subject having a specified role or set of roles.
  • F. None of above.

Provenance (3 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb666e514819090560d43bfaf55b8 completed March 8, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69ada43615f08190ac2275020d157983 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:14 p.m.