Triple
T20060902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dante Reyes |
E499468
|
entity |
| Predicate | basedOnEventFrom |
P3224
|
FINISHED |
| Object | heist in Rio de Janeiro in Fast Five |
—
|
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: heist in Rio de Janeiro in Fast Five | Statement: [Dante Reyes, basedOnEventFrom, heist in Rio de Janeiro in Fast Five]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnEventFrom Context triple: [Dante Reyes, basedOnEventFrom, heist in Rio de Janeiro in Fast Five]
-
A.
basedOnEvent
chosen
Indicates that something is derived from, influenced by, or determined in reference to a specific event.
-
B.
basedOnEventsDescribedIn
Indicates that something is derived from, inspired by, or constructed using the events described in another source.
-
C.
basedOnFactFrom
Indicates that something is derived, justified, or constructed using factual information obtained from a specified source.
-
D.
basedOnBy
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
-
E.
triggeredFrom
Indicates that one event, action, or process was initiated or caused as a result of another specific event, action, or process.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6637601dc8190a07fc20844093cb7 |
completed | April 20, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69e54cee7a5c819084ae4ff26419833f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:38 p.m.