Triple

T4506633
Position Surface form Disambiguated ID Type / Status
Subject Cyborg E101345 entity
Predicate abilities P8715 FINISHED
Object expert hand-to-hand combatant 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: expert hand-to-hand combatant | Statement: [Cyborg, abilities, expert hand-to-hand combatant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: abilities
Context triple: [Cyborg, abilities, expert hand-to-hand combatant]
  • A. ability chosen
    Indicates that an entity has the capacity or power to perform a particular action or achieve a specific outcome.
  • B. kills
    Indicates that one entity causes the death of another entity, ending its life.
  • C. competence
    Indicates that an entity has the ability, skill, or qualification to perform a task or fulfill a role effectively.
  • D. skillAssessed
    Indicates that an entity’s skill or competency has been evaluated or measured, typically by another agent or process.
  • E. canAchieve
    Indicates that an entity has the ability or potential to successfully attain or accomplish a specified goal, state, or outcome.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd570e7bb8819097f7a575384a10a8 completed March 20, 2026, 2:17 p.m.
PD Predicate disambiguation batch_69bd5218afb4819087c99e0a1f22e137 completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:01 p.m.