Triple
T30901114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the traveler (Ozymandias) |
E787169
|
entity |
| Predicate | quotesInscription |
P78667
|
FINISHED |
| Object | "My name is Ozymandias, king of kings" |
—
|
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: "My name is Ozymandias, king of kings" | Statement: [the traveler (Ozymandias), quotesInscription, "My name is Ozymandias, king of kings"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quotesInscription Context triple: [the traveler (Ozymandias), quotesInscription, "My name is Ozymandias, king of kings"]
-
A.
mottoInscription
Indicates that a particular motto is inscribed on or associated as an inscription with an entity.
-
B.
quotationText
chosen
Indicates that the associated text is the exact content of a quotation made or referenced in the relationship.
-
C.
quoteType
Indicates the specific category or classification of a quotation, such as its style, purpose, or contextual role in discourse.
-
D.
quoteProvision
Indicates that one entity supplies or presents a quotation or price estimate to another entity.
-
E.
sloganOrQuote
Indicates that one entity is a slogan or quoted phrase associated with another entity.
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6923fecf88190813c4df19f69a80d |
completed | May 3, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:50 p.m.