Triple
T2614965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keith Hernandez |
E58865
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hernandez |
E190524
|
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: Hernandez | Statement: [Keith Hernandez, familyName, Hernandez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hernandez Context triple: [Keith Hernandez, familyName, Hernandez]
-
A.
Hernández
chosen
Hernández is a common Spanish surname borne by numerous notable figures across sports, arts, and public life.
-
B.
Herrera
Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
-
C.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
D.
Garza
Garza is a Spanish-language surname of Basque origin that is common in Mexico and among people of Hispanic heritage.
-
E.
Martínez
Martínez is a common Spanish-language surname widely borne across Spain and Latin America.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd87fb87c819093b02c67c76d51fd |
completed | March 7, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83eb8b088190b1ea47c6d42033c5 |
completed | March 10, 2026, 2:37 a.m. |
Created at: March 6, 2026, 9:50 p.m.