Triple
T1817984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deyvi Peña |
E40477
|
entity |
| Predicate | relationshipStartTime |
P9910
|
FINISHED |
| Object | 1980s (approximate) |
—
|
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: 1980s (approximate) | Statement: [Deyvi Peña, relationshipStartTime, 1980s (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipStartTime Context triple: [Deyvi Peña, relationshipStartTime, 1980s (approximate)]
-
A.
engagementDate
Indicates the date on which two entities formally become engaged or committed to a relationship or agreement.
-
B.
knownSince
chosen
Indicates the point in time from which one entity has been aware of, acquainted with, or in possession of knowledge about another entity.
-
C.
recognizedSince
Indicates that one entity has formally acknowledged, accepted, or identified another entity as valid or legitimate starting from a specific point in time.
-
D.
usedSince
Indicates that an entity has been in use starting from a specified point in time and continuing thereafter.
-
E.
representedSince
Indicates that one entity has been acting as a representative or agent for another entity continuously from a specified starting time.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d884548190a19cf3a6b5ae9d48 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.