Triple

T5977760
Position Surface form Disambiguated ID Type / Status
Subject Lygia Pape E133040 entity
Predicate notableWork P4 FINISHED
Object Ttéia
Ttéia is a renowned series of immersive geometric installations by Brazilian artist Lygia Pape, composed of delicate metallic threads and light to create ethereal spatial environments.
 E562936 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: Ttéia | Statement: [Lygia Pape, notableWork, Ttéia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ttéia
Context triple: [Lygia Pape, notableWork, Ttéia]
  • A. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • B. Benthesikyme
    Benthesikyme is a minor sea goddess in Greek mythology, known primarily as a daughter of Poseidon.
  • C. Aegiale
    Aegiale is a figure from Greek mythology, known as one of the Heliades, the daughters of the sun god Helios.
  • D. Aegitna
    Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
  • E. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • 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: Ttéia
Triple: [Lygia Pape, notableWork, Ttéia]
Generated description
Ttéia is a renowned series of immersive geometric installations by Brazilian artist Lygia Pape, composed of delicate metallic threads and light to create ethereal spatial environments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ttéia
Target entity description: Ttéia is a renowned series of immersive geometric installations by Brazilian artist Lygia Pape, composed of delicate metallic threads and light to create ethereal spatial environments.
  • A. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • B. Benthesikyme
    Benthesikyme is a minor sea goddess in Greek mythology, known primarily as a daughter of Poseidon.
  • C. Aegiale
    Aegiale is a figure from Greek mythology, known as one of the Heliades, the daughters of the sun god Helios.
  • D. Aegitna
    Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
  • E. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • 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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a3cffb08190a764a404a4ce5812 completed March 22, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10847cdec81908a4d2d19d8a53d1d completed March 23, 2026, 9:30 a.m.
NEDg Description generation batch_69c1090a7bac8190b5b9e003659b4b34 completed March 23, 2026, 9:34 a.m.
NED2 Entity disambiguation (via description) batch_69c10d5102348190a9ec7421b1410a99 completed March 23, 2026, 9:52 a.m.
Created at: March 22, 2026, 4:04 p.m.