Triple

T14121494
Position Surface form Disambiguated ID Type / Status
Subject Experiment 626 E339914 entity
Predicate laterPurposeInFiction P80898 FINISHED
Object protecting his family 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: protecting his family | Statement: [Experiment 626, laterPurposeInFiction, protecting his family]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterPurposeInFiction
Context triple: [Experiment 626, laterPurposeInFiction, protecting his family]
  • A. laterSettingOfFiction
    Indicates that one fictional work is set chronologically later than another within a shared narrative or story world.
  • B. fictionalUse
    Indicates that one entity makes use of another within a fictional or imaginary context, rather than in real-world usage.
  • C. literaryPurpose
    Indicates the intended function, effect, or communicative goal that a text or passage is meant to achieve within a literary context.
  • D. narrativePurpose chosen
    Indicates the role or function that something serves within the structure or progression of a narrative.
  • E. usedInFictionalWork
    Indicates that something (such as a concept, object, or character) appears or is employed within a specific fictional work.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de60942a588190beff0058a92f7051 completed April 14, 2026, 3:43 p.m.
PD Predicate disambiguation batch_69de05b5e7a08190a16be9ad8b92b80c completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:22 p.m.