Triple

T25060276
Position Surface form Disambiguated ID Type / Status
Subject coffee is for closers speech E627635 entity
Predicate goalWithinStory P42284 FINISHED
Object force higher sales performance 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: force higher sales performance | Statement: [coffee is for closers speech, goalWithinStory, force higher sales performance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: goalWithinStory
Context triple: [coffee is for closers speech, goalWithinStory, force higher sales performance]
  • A. narrativeGoal chosen
    Indicates that one entity has a desired outcome or objective within a story or narrative context that drives their actions or development.
  • B. goalDescription
    Indicates that an entity expresses, specifies, or provides a textual description of a goal or intended outcome associated with another entity or activity.
  • C. goalType
    Indicates the specific category or nature of a goal associated with an entity or action.
  • D. goalAtEnd
    Indicates that a particular goal or objective holds true or is achieved at the final state or endpoint of a process, sequence, or event.
  • E. goalStructure
    Indicates the overarching objective or intended outcome that organizes and guides the structure of related actions, components, or relationships.
  • 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_69e2ff2c45f48190afa28369f1df6786 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f4599935f0819088f542f6b702f6d5 completed May 1, 2026, 7:43 a.m.
PD Predicate disambiguation batch_69f442c861188190967655c6d8012380 completed May 1, 2026, 6:06 a.m.
Created at: April 18, 2026, 6:09 a.m.