Triple
T225372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malia Obama |
E4302
|
entity |
| Predicate | endTimeOfWhiteHouseResidence |
P9842
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Malia Obama, endTimeOfWhiteHouseResidence, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfWhiteHouseResidence Context triple: [Malia Obama, endTimeOfWhiteHouseResidence, 2017]
-
A.
endOfFirstPresidency
Indicates the point in time when an entity’s first term in a presidential office concludes.
-
B.
endOfSecondPresidency
Indicates the point in time when an entity’s second term in a presidential office concludes.
-
C.
vicePresidentialTermEnd
Indicates the date or point in time when an individual's service in a specific vice presidential term comes to an end.
-
D.
servedAsPresidentDuring
Indicates that a person held the office of president for the duration of a specified time period or event.
-
E.
lastPresident
Indicates that one entity is the most recent individual to have held the office of president of the other entity.
- F. None of above. chosen
Provenance (4 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25dec53ac8190912f3d79576131fa |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b5739dc8190bad8bfa330ce0499 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25dea93b48190863a3704b233aa03 |
completed | Feb. 28, 2026, 3:15 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.