Triple
T1245540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomas Arana |
E26756
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tomas Arana |
E26756
|
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: Tomas Arana | Statement: [Tomas Arana, name, Tomas Arana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomas Arana Context triple: [Tomas Arana, name, Tomas Arana]
-
A.
Tomas Arana
chosen
Tomas Arana is an American actor known for his supporting roles in films such as "Gladiator," "The Hunt for Red October," and "The Dark Knight Rises."
-
B.
Juan Bohón
Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
-
C.
Rafael Maroto
Rafael Maroto was a Spanish general best known for his leading role on the royalist side during the Latin American wars of independence, particularly in Chile.
-
D.
Francisco Navarro
Francisco Navarro is a personal name shared by several notable individuals across fields such as politics, sports, and the arts in Spanish-speaking countries.
-
E.
Rafael Navarro
Rafael Navarro is a name shared by several notable individuals, including professionals in fields such as science, sports, and the arts.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf6498948190b30b09d845d67ac4 |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0b77f008190893627daee29c441 |
completed | March 8, 2026, 4:15 p.m. |
Created at: March 1, 2026, 7:47 p.m.