Triple

T3818709
Position Surface form Disambiguated ID Type / Status
Subject Donald Glover as Lando Calrissian E84318 entity
Predicate portrayalReception P52442 FINISHED
Object critically praised performance 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: critically praised performance | Statement: [Donald Glover as Lando Calrissian, portrayalReception, critically praised performance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portrayalReception
Context triple: [Donald Glover as Lando Calrissian, portrayalReception, critically praised performance]
  • A. portrayalReceived
    Indicates that an entity has been depicted or represented by another entity, such as through an image, performance, or description.
  • B. portrayalRecognition
    Indicates that one entity recognizes or identifies another entity as a portrayal or representation of a particular subject or character.
  • C. portrayalFeature
    Indicates that one entity serves as a characteristic, aspect, or attribute highlighted in the depiction or representation of another entity.
  • D. portrayalLedTo
    Indicates that one entity’s portrayal of another caused or significantly contributed to a subsequent outcome, reaction, or state involving that other entity.
  • E. challengesPortrayalOf
    Indicates that one entity questions, disputes, or undermines the way another entity is represented or depicted.
  • F. None of above. chosen

Provenance (4 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef188b474819087680db42b04ecdd completed March 9, 2026, 4:12 p.m.
PD Predicate disambiguation batch_69aee74a2bc081909b237df8b1e27653 completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aef18748648190b85e62f7796ff4b4 completed March 9, 2026, 4:12 p.m.
Created at: March 9, 2026, 3:17 p.m.