Triple
T249823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yo-Yo Ma |
E5117
|
entity |
| Predicate | performedFor |
P270
|
FINISHED |
| Object | multiple U.S. presidents |
—
|
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: multiple U.S. presidents | Statement: [Yo-Yo Ma, performedFor, multiple U.S. presidents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedFor Context triple: [Yo-Yo Ma, performedFor, multiple U.S. presidents]
-
A.
performed
Indicates that an entity carried out, executed, or conducted a specific action, task, or activity.
-
B.
performsAt
chosen
Indicates that an entity carries out or presents a performance at a specific location, venue, or event.
-
C.
performedBy
Indicates that an action, task, or event is carried out or executed by a specified agent or entity.
-
D.
operatedFor
Indicates that one entity performed operations or provided services on behalf of, or in support of, another entity for a certain period or purpose.
-
E.
commissionedFor
Indicates that something was formally requested or created to serve a specific purpose, project, or recipient.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d3728f0819086214ccc2db2305a |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b665f8c8190aac6fcbba2a0eebb |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.