Triple
T1787445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shakira |
E39422
|
entity |
| Predicate | UNICEFAppointmentYear |
P8560
|
FINISHED |
| Object | 2003 |
—
|
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: 2003 | Statement: [Shakira, UNICEFAppointmentYear, 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UNICEFAppointmentYear Context triple: [Shakira, UNICEFAppointmentYear, 2003]
-
A.
UNAppointmentYear
chosen
Indicates the year in which an entity was appointed to a position within the United Nations.
-
B.
UNSpecializedAgencySince
Indicates that an entity has held the status of a United Nations specialized agency continuously since a specified point in time.
-
C.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
-
D.
joinedUNTogetherWith
Indicates that one entity became a member of or affiliated with the University of North Texas together with another entity, at the same time or as part of the same event.
-
E.
authorizationYear
Indicates the year in which an official approval, permission, or authorization for something was granted.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab75457e54819096b8c6ae8c65550c |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61d165688190924962a98e07ff69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.