Triple

T32895401
Position Surface form Disambiguated ID Type / Status
Subject Marla Daniels E841457 entity
Predicate relationshipWithCedricDaniels P205190 FINISHED
Object pressures Cedric to advance his police career for political gain 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: pressures Cedric to advance his police career for political gain | Statement: [Marla Daniels, relationshipWithCedricDaniels, pressures Cedric to advance his police career for political gain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipWithCedricDaniels
Context triple: [Marla Daniels, relationshipWithCedricDaniels, pressures Cedric to advance his police career for political gain]
  • A. relationshipToBreeDaniels
    Indicates a relationship that an entity has specifically to Bree Daniels, without specifying the type or nature of that relationship.
  • B. relationshipToDani
    Indicates the specific type of relationship or connection that an entity has to Dani.
  • C. relationshipToCyrilHamilton
    Indicates the specific familial, social, or professional relationship that an entity has to Cyril Hamilton.
  • D. relationshipTypeWithTancredi
    Indicates the specific nature or category of relationship that an entity has with Tancredi.
  • E. relationshipToCandide
    Indicates the specific type of relationship or connection an entity has to the entity named Candide.
  • 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_69f34945ae408190b72d8118c83beb77 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a037cad051c8190b28b354b89208574 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a0379f0cbe481909b4b8fc6cbe297f0 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037cab06288190b093935f235ddff2 completed May 12, 2026, 7:16 p.m.
Created at: May 1, 2026, 1:18 a.m.