Triple
T15908417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inigo Montoya |
E385783
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Count Rugen |
E385787
|
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: Count Rugen | Statement: [Inigo Montoya, enemy, Count Rugen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Count Rugen Context triple: [Inigo Montoya, enemy, Count Rugen]
-
A.
Count Rugen
chosen
Count Rugen is the sadistic six-fingered nobleman and torturer who serves as a primary antagonist in the fantasy adventure story "The Princess Bride."
-
B.
Balz Hilt
Balz Hilt is a Swiss art dealer and cultural figure best known as one of the founders of the international contemporary art fair Art Basel.
-
C.
Tsurugi
Tsurugi is a Japanese Shinkansen train service operating on the Hokuriku Shinkansen line, primarily providing all-stations shuttle connections between Toyama and Kanazawa.
-
D.
Banryū
Banryū was a Japanese warship that served in the late Edo period and took part in the Boshin War’s Naval Battle of Hakodate.
-
E.
Durandal
Durandal is the legendary sword of the paladin Roland in medieval French epic literature, famed for its unbreakable strength and divine origin.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565d2f048190a40379ceae00411a |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3bb7d608190babbea74a9ca9f4c |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.