Triple
T25392259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Athena at Priene |
E636198
|
entity |
| Predicate | traditionalArchitect |
P94412
|
FINISHED |
| Object |
Pytheos
Pytheos was a renowned 4th-century BCE Greek architect and theorist, best known for his influential work on Ionic temple design and architectural proportion.
|
E1677481
|
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: Pytheos | Statement: [Temple of Athena at Priene, traditionalArchitect, Pytheos]
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: Pytheos Triple: [Temple of Athena at Priene, traditionalArchitect, Pytheos]
Generated description
Pytheos was a renowned 4th-century BCE Greek architect and theorist, best known for his influential work on Ionic temple design and architectural proportion.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalArchitect Context triple: [Temple of Athena at Priene, traditionalArchitect, Pytheos]
-
A.
previousArchitecture
Indicates that one architecture served as the predecessor or earlier version of another architecture in a sequence or evolution.
-
B.
historicStructureArchitect
chosen
Indicates that an architect is the designer or primary planner responsible for a particular historic structure.
-
C.
inArchitecturalCanon
Indicates that something is recognized as part of the established and authoritative body of works or principles in architecture.
-
D.
previousArchitecturalStyle
Indicates that one architectural style directly preceded another in the historical or developmental sequence of a building or design.
-
E.
earlierArchitect
Indicates that one architect’s work, involvement, or role occurred before that of another architect in time.
- 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_69e75db263888190b77fff9e2827b9a2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1076152eb481909865e193d023d8d2 |
completed | May 22, 2026, 3:28 p.m. |
| NEDg | Description generation | batch_6a107704fc988190ad63a0cf42ab9278 |
completed | May 22, 2026, 3:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a107788b7b88190862dc72173b63531 |
completed | May 22, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 21, 2026, 1:49 p.m.