Triple
T16225740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodolfo Gaona Park |
E393838
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Rodolfo Gaona
Rodolfo Gaona was a celebrated Mexican bullfighter of the early 20th century, renowned for his artistry and innovations in the bullring.
|
E1301179
|
NE FINISHED |
How this triple was built (4 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: Rodolfo Gaona | Statement: [Rodolfo Gaona Park, namedAfter, Rodolfo Gaona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodolfo Gaona Context triple: [Rodolfo Gaona Park, namedAfter, Rodolfo Gaona]
-
A.
Rodolfo Garza
Rodolfo Garza is a person notable enough to be specifically cited as a bearer of the surname Garza.
-
B.
Vicente Arellano
Vicente Arellano is a notable individual who shares the Arellano surname, recognized enough to be cited as a prominent bearer of the name.
-
C.
Rey Rosales
Rey Rosales is a fictional police detective on the soap opera "The Young and the Restless," known for his complex relationships and moral integrity.
-
D.
Enrique Cruz
Enrique Cruz is a kindhearted airport food-service worker in the film "The Terminal" who befriends stranded traveler Viktor Navorski.
-
E.
Rafael Magaña
Rafael Magaña is a person notable enough to be specifically cited as a bearer of the surname Magaña.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rodolfo Gaona Triple: [Rodolfo Gaona Park, namedAfter, Rodolfo Gaona]
Generated description
Rodolfo Gaona was a celebrated Mexican bullfighter of the early 20th century, renowned for his artistry and innovations in the bullring.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rodolfo Gaona Target entity description: Rodolfo Gaona was a celebrated Mexican bullfighter of the early 20th century, renowned for his artistry and innovations in the bullring.
-
A.
Rodolfo Garza
Rodolfo Garza is a person notable enough to be specifically cited as a bearer of the surname Garza.
-
B.
Vicente Arellano
Vicente Arellano is a notable individual who shares the Arellano surname, recognized enough to be cited as a prominent bearer of the name.
-
C.
Rey Rosales
Rey Rosales is a fictional police detective on the soap opera "The Young and the Restless," known for his complex relationships and moral integrity.
-
D.
Enrique Cruz
Enrique Cruz is a kindhearted airport food-service worker in the film "The Terminal" who befriends stranded traveler Viktor Navorski.
-
E.
Rafael Magaña
Rafael Magaña is a person notable enough to be specifically cited as a bearer of the surname Magaña.
- F. None of above. chosen
Provenance (5 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d25f8bc81909aa59b794a528db2 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a034307ff088190874d6c00f2741400 |
completed | May 12, 2026, 3:11 p.m. |
| NEDg | Description generation | batch_6a03445913088190b8662601da93a3ab |
completed | May 12, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034517f4148190864d916f4d1ef5ba |
completed | May 12, 2026, 3:19 p.m. |
Created at: April 10, 2026, 5:03 a.m.