Triple
T15908617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count Rugen |
E385787
|
entity |
| Predicate | notableQuoteAssociation |
P492
|
FINISHED |
| Object | Hello. My name is Inigo Montoya. You killed my father. Prepare to die. |
—
|
LITERAL 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: Hello. My name is Inigo Montoya. You killed my father. Prepare to die. | Statement: [Count Rugen, notableQuoteAssociation, Hello. My name is Inigo Montoya. You killed my father. Prepare to die.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableQuoteAssociation Context triple: [Count Rugen, notableQuoteAssociation, Hello. My name is Inigo Montoya. You killed my father. Prepare to die.]
-
A.
notableQuoteOrigin
Indicates that a quoted statement is originally attributed to a particular source or context.
-
B.
notableQuote
chosen
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
-
C.
notableQuoteTranslation
Indicates that one quote is a translation of another quote, preserving its meaning across different languages.
-
D.
notableAuthorMention
Indicates that a notable or well-known author is referenced or cited in relation to the subject.
-
E.
notableQuoteStyle
Indicates the characteristic manner or style in which a notable quote is expressed or delivered.
- F. None of above.
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_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:52 a.m.