Triple

T15385349
Position Surface form Disambiguated ID Type / Status
Subject Finn E367901 entity
Predicate showsPotentialFor P58576 FINISHED
Object Force sensitivity 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 sensitivity | Statement: [Finn, showsPotentialFor, Force sensitivity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: showsPotentialFor
Context triple: [Finn, showsPotentialFor, Force sensitivity]
  • A. hasPotential chosen
    Indicates that an entity possesses the capacity or possibility to develop, achieve, or exhibit a particular state, quality, or outcome in the future.
  • B. exportPotential
    Indicates the extent to which something is suitable or likely to be successfully exported to other markets or locations.
  • C. hasSequelPotential
    Indicates that a work or story has qualities suggesting it could be continued or expanded in a subsequent installment.
  • D. agingPotential
    Indicates the capacity or suitability of something to improve, develop, or remain effective over time as it ages.
  • E. hasSpinOffPotential
    Indicates that an entity (such as a project, product, or idea) has the capacity to be developed into a separate, independent venture or derivative offering.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e74ff70819094c1a85f51d6e228 completed April 16, 2026, 1:42 a.m.
PD Predicate disambiguation batch_69ded27742a881909cd73cc5c7d062fd completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:19 a.m.