Triple
T8837740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domingo Faustino Sarmiento |
E210307
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Domingo |
E91907
|
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: Domingo | Statement: [Domingo Faustino Sarmiento, givenName, Domingo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domingo Context triple: [Domingo Faustino Sarmiento, givenName, Domingo]
-
A.
Domingo
Domingo is a surname most prominently associated with American actor, director, and writer Colman Domingo.
-
B.
Sunday
chosen
Sunday is the first day of the week in many cultures, widely recognized in Christianity as a principal day of worship and rest.
-
C.
This Sunday
"This Sunday" is a novel by Chilean writer José Donoso, associated with the Latin American Boom and known for its exploration of psychological and social themes.
-
D.
Dyushambe
Dyushambe is the former name of Dushanbe, the capital and largest city of Tajikistan.
-
E.
Perjeta
Perjeta is a monoclonal antibody drug used in combination therapies to treat HER2-positive breast cancer.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc606c60ac8190b2b6bd7f042c02f8 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf898a478c81908f138a78f331b87d |
completed | April 3, 2026, 9:34 a.m. |
Created at: March 30, 2026, 6:48 p.m.