Triple
T11607123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Saca |
E275289
|
entity |
| Predicate | memberOfPoliticalParty |
P10
|
FINISHED |
| Object | GANA |
E278283
|
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: GANA | Statement: [Antonio Saca, memberOfPoliticalParty, GANA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GANA Context triple: [Antonio Saca, memberOfPoliticalParty, GANA]
-
A.
GANA
chosen
GANA is an acronym that can refer to various organizations or entities depending on the context, such as political parties, associations, or initiatives in different countries.
-
B.
González
González is a common Spanish-language surname widely borne across Spain and Latin America, often associated with Iberian heritage.
-
C.
GATA
GATA is a song featured on the album "TattleTales" by rapper 6ix9ine.
-
D.
GONZ
GONZ is the standard abbreviation for the Gonzaga Bulldogs men's basketball team, a prominent NCAA Division I program known for its consistent national success.
-
E.
Beto
Beto is an American politician from Texas known for his high-profile campaigns for the U.S. Senate and the presidency.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89551649c81908096ff392677442d |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a82381708190aa0e674603d5778a |
completed | April 22, 2026, 10:51 a.m. |
Created at: April 8, 2026, 9:38 p.m.