Triple
T20432503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mateo Pumacahua |
E501166
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mateo |
—
|
NE NERFINISHED |
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: Mateo | Statement: [Mateo Pumacahua, givenName, Mateo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mateo Context triple: [Mateo Pumacahua, givenName, Mateo]
-
A.
Mateo
Mateo is a pivotal supporting character in the film "In America," whose emotionally powerful role earned a nomination for the Academy Award for Best Supporting Actor.
-
B.
Mateo
chosen
Mateo is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries and derived from the Hebrew name Matthew, meaning "gift of God."
-
C.
Mateo Arias
Mateo Arias is an American actor known for roles in films like "The Samuel Project" and for being the younger brother of actor Moisés Arias.
-
D.
Mattia
Mattia is an Italian given name, commonly used as a masculine first name in Italy and other Italian-speaking communities.
-
E.
Mateo Flores
Mateo Flores was a renowned Guatemalan long-distance runner, best known for winning the 1952 Boston Marathon and becoming a national sports hero.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685eba35881908c316443b6d789fb |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.