Triple

T15822351
Position Surface form Disambiguated ID Type / Status
Subject Beauty Marks E383642 entity
Predicate hasPart P35 FINISHED
Object Dose
Dose is a component or segment of the work "Beauty Marks," likely representing one of its distinct parts such as a track, chapter, or section.
E1178640 NE FINISHED

How this triple was built (4 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: Dose | Statement: [Beauty Marks, hasPart, Dose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dose
Context triple: [Beauty Marks, hasPart, Dose]
  • A. Dosage
    Dosage is a studio album by American rock band Collective Soul, known for its polished alternative rock sound and late-1990s radio hits.
  • B. DoQ
    DoQ is a network protocol that secures and accelerates DNS queries by running them over the QUIC transport layer.
  • C. Doxato
    Doxato is a town in northern Greece located within the Drama regional unit, known for its agricultural surroundings and historical significance.
  • D. Daps
    Daps is a British music video director known for his visually striking work with major hip-hop and Afrobeats artists.
  • E. Antidosis
    Antidosis is a rhetorical and philosophical work by the Athenian orator Isocrates, framed as a fictional legal defense that expounds his educational ideals and defends his life and teaching.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Dose
Triple: [Beauty Marks, hasPart, Dose]
Generated description
Dose is a component or segment of the work "Beauty Marks," likely representing one of its distinct parts such as a track, chapter, or section.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dose
Target entity description: Dose is a component or segment of the work "Beauty Marks," likely representing one of its distinct parts such as a track, chapter, or section.
  • A. Dosage
    Dosage is a studio album by American rock band Collective Soul, known for its polished alternative rock sound and late-1990s radio hits.
  • B. DoQ
    DoQ is a network protocol that secures and accelerates DNS queries by running them over the QUIC transport layer.
  • C. Doxato
    Doxato is a town in northern Greece located within the Drama regional unit, known for its agricultural surroundings and historical significance.
  • D. Daps
    Daps is a British music video director known for his visually striking work with major hip-hop and Afrobeats artists.
  • E. Antidosis
    Antidosis is a rhetorical and philosophical work by the Athenian orator Isocrates, framed as a fictional legal defense that expounds his educational ideals and defends his life and teaching.
  • F. None of above. chosen

Provenance (5 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a887d881908f74a1fcba390727 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff99999c2c8190b1838aed40e12061 completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9aa845348190907116612d2c87cd completed May 9, 2026, 8:35 p.m.
NED2 Entity disambiguation (via description) batch_69ff9b8833b88190967db29027b5f987 completed May 9, 2026, 8:39 p.m.
Created at: April 10, 2026, 4:49 a.m.