Triple
T18335672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fitness Olympia |
E439263
|
entity |
| Predicate | hasNotableChampion |
P2766
|
FINISHED |
| Object |
Adela Garcia
Adela Garcia is a highly accomplished professional fitness competitor best known for her multiple Ms. Fitness Olympia titles.
|
E1375141
|
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: Adela Garcia | Statement: [Fitness Olympia, hasNotableChampion, Adela Garcia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adela Garcia Context triple: [Fitness Olympia, hasNotableChampion, Adela Garcia]
-
A.
Rosa García
Rosa García is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname García.
-
B.
Adela Medrano
Adela Medrano is known as the former wife of acclaimed Spanish film director Carlos Saura.
-
C.
Adosinda Gutiérrez
Adosinda Gutiérrez was a 10th-century Leonese noblewoman best known as the first wife of King Ramiro II of León and a member of the powerful Galician aristocracy.
-
D.
Consuelo Gómez
Consuelo Gómez is an actress best known for her role in Robert Rodriguez’s influential low-budget action film "El Mariachi."
-
E.
María Benítez
María Benítez is a notable individual distinguished enough in her field or public life to be recognized as a prominent bearer of the Benítez surname.
- 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: Adela Garcia Triple: [Fitness Olympia, hasNotableChampion, Adela Garcia]
Generated description
Adela Garcia is a highly accomplished professional fitness competitor best known for her multiple Ms. Fitness Olympia titles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adela Garcia Target entity description: Adela Garcia is a highly accomplished professional fitness competitor best known for her multiple Ms. Fitness Olympia titles.
-
A.
Rosa García
Rosa García is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname García.
-
B.
Adela Medrano
Adela Medrano is known as the former wife of acclaimed Spanish film director Carlos Saura.
-
C.
Adosinda Gutiérrez
Adosinda Gutiérrez was a 10th-century Leonese noblewoman best known as the first wife of King Ramiro II of León and a member of the powerful Galician aristocracy.
-
D.
Consuelo Gómez
Consuelo Gómez is an actress best known for her role in Robert Rodriguez’s influential low-budget action film "El Mariachi."
-
E.
María Benítez
María Benítez is a notable individual distinguished enough in her field or public life to be recognized as a prominent bearer of the Benítez surname.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecd759481909703ed2d0d68199f |
completed | April 19, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733b49ddc81909157bd26d699a390 |
completed | May 15, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_6a073491b60c8190a41a15410e865219 |
completed | May 15, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073545b2e48190a8cb78cb25785017 |
completed | May 15, 2026, 3:01 p.m. |
Created at: April 10, 2026, 10:37 a.m.