Triple
T12435106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabato Morais |
E297123
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sabato Morais |
E297123
|
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: Sabato Morais | Statement: [Sabato Morais, name, Sabato Morais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabato Morais Context triple: [Sabato Morais, name, Sabato Morais]
-
A.
Sabato Morais
chosen
Sabato Morais was a 19th-century Italian-American rabbi and scholar who played a key role in shaping traditional Jewish education and leadership in the United States.
-
B.
Emanuel Mori
Emanuel Mori is a Micronesian politician who served as President of the Federated States of Micronesia in the late 2000s and early 2010s.
-
C.
Manoel Schwartz
Manoel Schwartz was a prominent Brazilian sports figure and club leader, best known for his influential role in the history of Fluminense Football Club.
-
D.
Samuel Sarphati
Samuel Sarphati was a 19th-century Amsterdam physician, entrepreneur, and urban planner known for his major contributions to the city’s public health and urban development.
-
E.
Sandro Stern
Sandro Stern is a screenwriter best known for his work on the horror film "The Amityville Horror."
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d804c2c819082f2f86edcbb50de |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6349f0f34819080e7d7f83f7baece |
completed | May 2, 2026, 5:30 p.m. |
Created at: April 8, 2026, 9:55 p.m.