Triple

T19516438
Position Surface form Disambiguated ID Type / Status
Subject Infinity Train E488288 entity
Predicate receivedCriticalReception P103613 FINISHED
Object critical acclaim for storytelling and emotional depth 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: critical acclaim for storytelling and emotional depth | Statement: [Infinity Train, receivedCriticalReception, critical acclaim for storytelling and emotional depth]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: receivedCriticalReception
Context triple: [Infinity Train, receivedCriticalReception, critical acclaim for storytelling and emotional depth]
  • A. criticalReception
    Indicates how a work, performance, or product is evaluated and responded to by critics or professional reviewers.
  • B. hasCriticism
    Indicates that one entity expresses disapproval, objection, or negative evaluation directed toward another entity.
  • C. hasReceivedCriticalAcclaim chosen
    Indicates that the subject has been widely praised or positively recognized by critics or expert reviewers.
  • D. criticizedFor
    Indicates that one entity expresses disapproval or negative judgment of another entity specifically because of a particular action, quality, or outcome.
  • E. receivedReaction
    Indicates that an entity has been the target of a reaction or response from another entity.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359ca7648190804c4d655170fda3 completed April 20, 2026, 2:18 p.m.
PD Predicate disambiguation batch_69e4fd7bd25881908caa04eaef1f6718 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:40 p.m.