Triple
T14666739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Guas |
E344396
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Juan Guas |
E344396
|
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: Juan Guas | Statement: [Juan Guas, name, Juan Guas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Guas Context triple: [Juan Guas, name, Juan Guas]
-
A.
Juan Guas
chosen
Juan Guas was a prominent late 15th-century Spanish architect of Flemish origin, renowned for his influential role in developing the Isabelline Gothic style.
-
B.
José de La Mar
José de La Mar was a Peruvian military leader and president in the early 19th century, noted for his role in the country’s wars of independence and subsequent conflicts.
-
C.
Pico Bonpland
Pico Bonpland is a prominent high-altitude mountain peak in the Venezuelan Andes, known for its rugged terrain and glaciated landscapes.
-
D.
Eduardo Luis
Eduardo Luis is an actor known for playing the character Trash.
-
E.
Adans Lopez Peres
Adans Lopez Peres is a Portuguese circus acrobat and performer known for his marriage to Princess Stéphanie of Monaco.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54c69f8819080a37161deecfba8 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e63e6c8190ba67776719f2ff0c |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.