Triple
T6226101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lygia Pape |
E139237
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Ttéia |
E562936
|
NE 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: 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.
Ttéia
chosen
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.
-
B.
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.
-
C.
Benthesikyme
Benthesikyme is a minor sea goddess in Greek mythology, known primarily as a daughter of Poseidon.
-
D.
Aegiale
Aegiale is a figure from Greek mythology, known as one of the Heliades, the daughters of the sun god Helios.
-
E.
Aegitna
Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d42c688190be4d8d8325d6daaa |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20dd3dc5c8190bf48da3a90863727 |
completed | March 24, 2026, 4:06 a.m. |
Created at: March 22, 2026, 4:22 p.m.