Triple

T16640581
Position Surface form Disambiguated ID Type / Status
Subject Heat (chapter in Like Water for Chocolate) E404322 entity
Predicate literaryDeviceUsed P16928 FINISHED
Object culinary symbolism 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: culinary symbolism | Statement: [Heat (chapter in Like Water for Chocolate), literaryDeviceUsed, culinary symbolism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: literaryDeviceUsed
Context triple: [Heat (chapter in Like Water for Chocolate), literaryDeviceUsed, culinary symbolism]
  • A. rhetoricalDevice
    Indicates that one entity is used as a rhetorical device in relation to another, such as a figure of speech, stylistic technique, or persuasive strategy within a discourse.
  • B. lyricalDevice
    Indicates the use of a specific poetic or musical technique within lyrics to achieve a particular expressive or aesthetic effect.
  • C. literaryFeature chosen
    Indicates a relationship where something possesses or exhibits a characteristic, device, or stylistic element used in literature.
  • D. hasPoeticDevice
    Indicates that one entity (typically a text or passage) employs or contains a specific poetic device present in the other entity.
  • E. literaryLanguage
    Indicates that an entity is expressed, written, or communicated using a particular literary or standardized written language.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad0e5408190aef8b5577be73057 completed April 18, 2026, 12:36 p.m.
PD Predicate disambiguation batch_69e296ad3f148190af09223dc35b155c completed April 17, 2026, 8:23 p.m.
Created at: April 10, 2026, 5:18 a.m.