Triple

T11597493
Position Surface form Disambiguated ID Type / Status
Subject Alanna Mitsopolis E275040 entity
Predicate negotiationStyle P25923 FINISHED
Object leveraging leverage and secrets 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: leveraging leverage and secrets | Statement: [Alanna Mitsopolis, negotiationStyle, leveraging leverage and secrets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: negotiationStyle
Context triple: [Alanna Mitsopolis, negotiationStyle, leveraging leverage and secrets]
  • A. negotiationStyleDescribedAs chosen
    Indicates that an entity’s approach to negotiation is characterized or labeled using a particular style or descriptor.
  • B. negotiationDirection
    Indicates the direction or flow of a negotiation, specifying which party is initiating or driving the negotiation toward the other.
  • C. typeOfNegotiation
    Indicates the specific kind or category of negotiation process that characterizes the interaction between the involved parties.
  • D. negotiationRole
    Indicates the specific function or capacity an entity assumes within a negotiation process (e.g., buyer, seller, mediator, or representative).
  • E. negotiation
    Indicates a process in which two or more parties communicate and make offers and counteroffers to reach a mutually acceptable agreement.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89549c870819086e16e9110bbad87 completed April 10, 2026, 6:14 a.m.
PD Predicate disambiguation batch_69d85dd20d188190863d1190d4c16048 completed April 10, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:38 p.m.