Triple
T6687245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manasseh |
E152129
|
entity |
| Predicate | associatedWithFigure |
P1183
|
FINISHED |
| Object | Jair |
E105696
|
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: Jair | Statement: [Manasseh, associatedWithFigure, Jair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jair Context triple: [Manasseh, associatedWithFigure, Jair]
-
A.
Jair
chosen
Jair is a minor biblical judge of Israel mentioned in the Book of Judges, known for his leadership and his thirty sons who rode thirty donkeys and controlled thirty towns.
-
B.
Marcos
Marcos is a masculine given name, commonly used in Spanish- and Portuguese-speaking countries, that derives from the Latin name Marcus.
-
C.
Floriano
Floriano is a municipality in the Brazilian state of Piauí, known as an important commercial and cultural center in the region.
-
D.
Mauricio
Mauricio is a masculine given name, commonly used in Spanish- and Portuguese-speaking countries, derived from the Latin name Mauritius.
-
E.
Augusto Vargas Alzamora
Augusto Vargas Alzamora was a Peruvian Cardinal of the Roman Catholic Church who served as Archbishop of Lima and was known for his outspoken defense of human rights and democracy.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b14e58708190a4ba8ff1c085f160 |
completed | March 27, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b31fa0819089c4debbbbce9d22 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:04 p.m.