Triple

T26231842
Position Surface form Disambiguated ID Type / Status
Subject SOFI TUKKER E656052 entity
Predicate usesPoetryOf P106248 FINISHED
Object Chacal
Chacal is a poet whose work has been incorporated into the music and lyrics of the electronic duo SOFI TUKKER.
E1714214 NE FINISHED

How this triple was built (3 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: Chacal | Statement: [SOFI TUKKER, usesPoetryOf, Chacal]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chacal
Triple: [SOFI TUKKER, usesPoetryOf, Chacal]
Generated description
Chacal is a poet whose work has been incorporated into the music and lyrics of the electronic duo SOFI TUKKER.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesPoetryOf
Context triple: [SOFI TUKKER, usesPoetryOf, Chacal]
  • A. usesPoeticProgram
    Indicates that one entity employs or applies a poetic program—such as a structured, rule-based, or stylistically poetic system—in relation to another entity or context.
  • B. usesPoetryCollection chosen
    Indicates that one entity employs or makes use of a poetry collection in performing an action, fulfilling a function, or supporting some activity or process.
  • C. usedByPoet
    Indicates that something (such as a word, style, device, or object) is employed or utilized by a poet.
  • D. usesPoetryFromPeriod
    Indicates that one entity employs or incorporates poetry originating from a specific historical or literary period.
  • E. favoritePoet
    Indicates that one entity is the poet whom another entity prefers above all other poets.
  • F. None of above.

Provenance (6 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_69ee5b4b8b408190993da38c0067cc8d completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f6562fd3488190be1acd8c526a28d2 completed May 2, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11859a1d148190adee8ee0275bcc56 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a11862050608190bf26431a0fb90b07 completed May 23, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a1186bd48e48190a397267a101ef076 completed May 23, 2026, 10:51 a.m.
PD Predicate disambiguation batch_69f651a731508190bb0c8c2462eba224 completed May 2, 2026, 7:33 p.m.
Created at: April 26, 2026, 9 p.m.