Triple

T16843270
Position Surface form Disambiguated ID Type / Status
Subject Not a Penny More, Not a Penny Less E409465 entity
Predicate hasRevengePlanGoal P80866 FINISHED
Object recover exactly the amount of money lost 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: recover exactly the amount of money lost | Statement: [Not a Penny More, Not a Penny Less, hasRevengePlanGoal, recover exactly the amount of money lost]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRevengePlanGoal
Context triple: [Not a Penny More, Not a Penny Less, hasRevengePlanGoal, recover exactly the amount of money lost]
  • A. hasPlanningGoal
    Indicates that an entity is associated with, or directed toward achieving, a specific planning objective or target state.
  • B. methodOfRevenge chosen
    Indicates a relationship where a specific action or strategy is used as the means by which revenge is carried out.
  • C. hasFictionalGoal
    Indicates that an entity is associated with a goal or objective that exists only within a fictional, imagined, or narrative context.
  • D. allegedGoal
    Indicates that one entity is claimed or reported to have the goal or intended objective of another entity, without asserting that the goal is actually true.
  • E. hasPrimaryGoal
    Indicates that an entity’s main or most important objective is the specified goal.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b35284588190a1d6238438f3e70d completed April 18, 2026, 4:37 p.m.
PD Predicate disambiguation batch_69e32b87b4248190aaddb05e88452356 completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:24 a.m.