Triple

T9965638
Position Surface form Disambiguated ID Type / Status
Subject Poésies E195675 entity
Predicate hasPart P35 FINISHED
Object Salut
"Salut" is a poem included in Arthur Rimbaud’s collection *Poésies*, reflecting his innovative and influential Symbolist style.
 E833017 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: Salut | Statement: [Poésies, hasPart, Salut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Salut
Context triple: [Poésies, hasPart, Salut]
  • A. Salutati
    Salutati is an Italian surname most notably associated with Coluccio Salutati, a leading 14th-century humanist and Chancellor of Florence.
  • B. Bonjour
    Bonjour is Apple’s zero-configuration networking technology that enables automatic discovery of devices and services on local IP networks.
  • C. Salam
    Salam is a common Arabic-origin surname borne by numerous individuals across the world, including notable figures in science, politics, and the arts.
  • D. Ciao
    Ciao was the abstract, stick-figure mascot of the 1990 FIFA World Cup in Italy, featuring a body made of colored cubes in the Italian flag’s colors and a football for a head.
  • E. Hello
    "Hello" is a 1984 soft rock ballad by Lionel Richie, renowned for its emotive lyrics, iconic music video, and enduring popularity as one of his signature songs.
  • 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: Salut
Triple: [Poésies, hasPart, Salut]
Generated description
"Salut" is a poem included in Arthur Rimbaud’s collection *Poésies*, reflecting his innovative and influential Symbolist style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Salut
Target entity description: "Salut" is a poem included in Arthur Rimbaud’s collection *Poésies*, reflecting his innovative and influential Symbolist style.
  • A. Salutati
    Salutati is an Italian surname most notably associated with Coluccio Salutati, a leading 14th-century humanist and Chancellor of Florence.
  • B. Bonjour
    Bonjour is Apple’s zero-configuration networking technology that enables automatic discovery of devices and services on local IP networks.
  • C. Salam
    Salam is a common Arabic-origin surname borne by numerous individuals across the world, including notable figures in science, politics, and the arts.
  • D. Ciao
    Ciao was the abstract, stick-figure mascot of the 1990 FIFA World Cup in Italy, featuring a body made of colored cubes in the Italian flag’s colors and a football for a head.
  • E. Hello
    "Hello" is a 1984 soft rock ballad by Lionel Richie, renowned for its emotive lyrics, iconic music video, and enduring popularity as one of his signature songs.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71c38488190a6f3cda11994f6a2 completed April 2, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23da2d7988190b8603ddb151996d9 completed April 5, 2026, 10:46 a.m.
NEDg Description generation batch_69d23eb1c1f481908404225dcccd0697 completed April 5, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_69d242aea6a08190a73a836e59865c35 completed April 5, 2026, 11:08 a.m.
Created at: March 30, 2026, 8:47 p.m.