Triple
T6593639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Letizia of Spain |
E148421
|
entity |
| Predicate | preRoyalCareer |
P49944
|
FINISHED |
| Object | television reporter |
—
|
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: television reporter | Statement: [Queen Letizia of Spain, preRoyalCareer, television reporter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preRoyalCareer Context triple: [Queen Letizia of Spain, preRoyalCareer, television reporter]
-
A.
precededByAsRoyalFavorite
Indicates that one entity previously held the position of royal favorite before another entity.
-
B.
pre-imperialRole
Indicates that an entity held a particular role or position during a pre-imperial period, before the establishment of an empire or imperial rule.
-
C.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
-
D.
beforeBecoming
chosen
Indicates that one state, role, or condition existed or occurred prior to another state, role, or condition coming into effect.
-
E.
plannedCareer
Indicates that an individual has chosen and intends to pursue a specific career path.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acfd17388190bd0bb8b2371e7df1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:55 p.m.