Triple
T16099702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | María Elena Holly |
E390582
|
entity |
| Predicate | metBuddyHollyDuring |
P13721
|
FINISHED |
| Object | Buddy Holly’s visit to New York in 1958 |
—
|
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: Buddy Holly’s visit to New York in 1958 | Statement: [María Elena Holly, metBuddyHollyDuring, Buddy Holly’s visit to New York in 1958]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metBuddyHollyDuring Context triple: [María Elena Holly, metBuddyHollyDuring, Buddy Holly’s visit to New York in 1958]
-
A.
metOn
chosen
Indicates that two or more entities encountered each other at the same time and place for the first time or for a particular meeting.
-
B.
HethIs
Indicates that one entity is identified as or equated with another entity, expressing a basic “is” or “being” relationship between them.
-
C.
MacMeans
Indicates that one entity serves as the meaning, definition, or semantic interpretation of another entity.
-
D.
מטרה
Indicates that an entity serves as the goal, aim, or intended target of another entity or action.
-
E.
Höhepunkt
Indicates the climax or peak point reached within an event, process, or development.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6756948190a7f5ecb375e59701 |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.