Triple
T27164990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santiago to follow his Personal Legend |
E682756
|
entity |
| Predicate | isSymbolicOf |
P105506
|
FINISHED |
| Object | pursuit of personal destiny |
—
|
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: pursuit of personal destiny | Statement: [Santiago to follow his Personal Legend, isSymbolicOf, pursuit of personal destiny]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSymbolicOf Context triple: [Santiago to follow his Personal Legend, isSymbolicOf, pursuit of personal destiny]
-
A.
isRelatedSymbol
Indicates that one symbol has a defined relationship or association with another symbol, such as similarity, correspondence, or functional connection.
-
B.
isSameSymbolAs
Indicates that two entities represent the identical symbol or sign, regardless of their specific instances or contexts.
-
C.
symbolicRelation
chosen
Indicates a relationship where one entity stands for, represents, or conveys meaning about another through symbols or abstract signs.
-
D.
isAliasOf
Indicates that one name, label, or identifier refers to the same entity as another.
-
E.
hasSymbolicForm
Indicates that one entity serves as the symbolic representation or abstract form of 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_69eefacf6e788190a75a64399d9e3109 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62541e49c8190ae9f30f48a30f814 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 9:20 a.m.