Triple

T38581354
Position Surface form Disambiguated ID Type / Status
Subject Myth: The Fallen Lords E932250 entity
Predicate physicsEffect P8792 FINISHED
Object friendly fire 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: friendly fire | Statement: [Myth: The Fallen Lords, physicsEffect, friendly fire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: physicsEffect
Context triple: [Myth: The Fallen Lords, physicsEffect, friendly fire]
  • A. involvedPhysicalEffect chosen
    Indicates that one entity participates in causing, experiencing, or mediating a physical effect on another entity or the environment.
  • B. gravityEffect
    Indicates the influence one entity’s gravitational force has on another, such as causing attraction, acceleration, or changes in motion.
  • C. forcePhenomenon
    Indicates a physical interaction in which one object exerts a push, pull, or other force effect on another, producing or tending to produce a change in motion or deformation.
  • D. physicsFeature
    Indicates that one entity possesses or exhibits a specific physical or physics-related property, behavior, or characteristic in relation to another.
  • E. visualEffect
    Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
  • 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_69f76ec654d48190b421111cf26e54d9 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdaa36f90819093f8661969990c7d completed May 7, 2026, 6:32 p.m.
PD Predicate disambiguation batch_69fcd8fefc588190b063d7ea1ec87b07 completed May 7, 2026, 6:25 p.m.
Created at: May 3, 2026, 4:32 p.m.