Triple
T1402278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malia Obama |
E31611
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Malia |
E31611
|
NE 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: Malia | Statement: [Malia Obama, givenName, Malia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malia Context triple: [Malia Obama, givenName, Malia]
-
A.
Malia
chosen
Malia is the elder daughter of former U.S. President Barack Obama and former First Lady Michelle Obama.
-
B.
Malia
Malia is an important Minoan Bronze Age palace complex and archaeological site on the northern coast of Crete.
-
C.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
-
D.
Mila
Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
-
E.
Malaita
Malaita is one of the main islands of the Solomon Islands in the South Pacific, known for its large population, rich traditional culture, and historical role in regional labor trade.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c39ef554819096c17bca5891829b |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde39d14c81909a76704c8e16c744 |
completed | March 8, 2026, 2:26 a.m. |
Created at: March 1, 2026, 7:59 p.m.