Triple

T28895372
Position Surface form Disambiguated ID Type / Status
Subject E-102 Gamma E732821 entity
Predicate objectiveInStory P42284 FINISHED
Object rescue fellow E-100 Series robots 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: rescue fellow E-100 Series robots | Statement: [E-102 Gamma, objectiveInStory, rescue fellow E-100 Series robots]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: objectiveInStory
Context triple: [E-102 Gamma, objectiveInStory, rescue fellow E-100 Series robots]
  • 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. actorObjective
    Indicates that an actor has a specific goal, purpose, or intended outcome in relation to another entity or situation.
  • C. aimOf
    Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
  • D. goalDescription
    Indicates that an entity expresses, specifies, or provides a textual description of a goal or intended outcome associated with another entity or activity.
  • E. usesObjective
    Indicates that an agent employs or applies a particular object, tool, or resource to carry out an action or achieve a 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_69f05b08c2008190ac426a035a2ed66d completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65aa2c5fc8190a74ea45c30e714d4 completed May 2, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69f6576487e081908d802f1caf59c423 completed May 2, 2026, 7:58 p.m.
Created at: April 28, 2026, 7:58 a.m.