Triple

T31418033
Position Surface form Disambiguated ID Type / Status
Subject Lucius Jenkins E801449 entity
Predicate relationshipTypeWith Angel Cruz P207423 FINISHED
Object cellblock neighbor 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: cellblock neighbor | Statement: [Lucius Jenkins, relationshipTypeWith Angel Cruz, cellblock neighbor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWith Angel Cruz
Context triple: [Lucius Jenkins, relationshipTypeWith Angel Cruz, cellblock neighbor]
  • A. relationshipWithAngelEyes
    Indicates a personal or significant connection that an entity has with the individual referred to as AngelEyes.
  • B. onScreenRelationshipTypeWithAngeloPardi
    Indicates the type of relationship that a character has with Angelo Pardi within an on-screen context (e.g., in a film or television narrative).
  • C. relationshipTypeWithRobertAngier
    Indicates the specific nature or category of relationship that an entity has with Robert Angier.
  • D. relationshipTypeWith Alicia Johns
    Indicates the specific type or nature of the relationship that an entity has with Alicia Johns.
  • E. relationshipTypeWith Aureliano Segundo
    Indicates the specific nature or category of relational connection that an entity has with Aureliano Segundo.
  • 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_69f348c26f048190b4adadd71b4596c5 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_6a037c9141dc819098d7fcc36e69882c completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e5174c8190a0bdde7e381b7624 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c7ee0388190a29faeb5cdb0950a completed May 12, 2026, 7:16 p.m.
Created at: April 30, 2026, 8:45 p.m.