Triple
T12680290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uday Hussein |
E302926
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Uday |
E302926
|
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: Uday | Statement: [Uday Hussein, givenName, Uday]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uday Context triple: [Uday Hussein, givenName, Uday]
-
A.
Uday
chosen
Uday was the eldest son of former Iraqi president Saddam Hussein, notorious for his violent behavior, lavish lifestyle, and prominent role in his father's regime.
-
B.
Udayan
Udayan is a central figure in Jhumpa Lahiri’s novel "The Lowland," whose radical political involvement and complex family relationships drive much of the story’s emotional and moral conflict.
-
C.
Udayan
Udayan is a residential and commercial block within the Uttarayan Complex, a planned urban development in India.
-
D.
Rishad
Rishad is an Indian business executive best known as the chairman of Wipro Limited.
-
E.
Udayin
Udayin was an ancient Indian king of the Haryanka dynasty, best known for establishing Pataliputra as a major political and urban center in the Magadha kingdom.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b32dbc81908101fc5f07e26ed3 |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a54b008190b02f9585d6c6ff77 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:21 p.m.