Triple
T4704059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samu |
E104345
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Samu Castillejo
Samu Castillejo is a Spanish professional footballer known for playing as a winger for clubs such as Málaga, Villarreal, AC Milan, and Valencia.
|
E462108
|
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: Samu Castillejo | Statement: [Samu, hasNotableBearer, Samu Castillejo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samu Castillejo Context triple: [Samu, hasNotableBearer, Samu Castillejo]
-
A.
Frank Ferrer
Frank Ferrer is an American rock drummer best known as the longtime drummer for the band Guns N' Roses.
-
B.
Javier
Javier is a masculine given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
-
C.
Gerónimo Peña
Gerónimo Peña is a former Dominican professional baseball second baseman who played in Major League Baseball in the 1990s, primarily for the St. Louis Cardinals.
-
D.
Antonio Moreno
Antonio Moreno was a Spanish-born American actor prominent in early Hollywood cinema, known for his roles in silent films and later sound productions.
-
E.
Gabriel Basso
Gabriel Basso is an American actor known for his roles in films like "Super 8" and the Netflix series "The Night Agent."
- 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: Samu Castillejo Triple: [Samu, hasNotableBearer, Samu Castillejo]
Generated description
Samu Castillejo is a Spanish professional footballer known for playing as a winger for clubs such as Málaga, Villarreal, AC Milan, and Valencia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samu Castillejo Target entity description: Samu Castillejo is a Spanish professional footballer known for playing as a winger for clubs such as Málaga, Villarreal, AC Milan, and Valencia.
-
A.
Frank Ferrer
Frank Ferrer is an American rock drummer best known as the longtime drummer for the band Guns N' Roses.
-
B.
Javier
Javier is a masculine given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
-
C.
Gerónimo Peña
Gerónimo Peña is a former Dominican professional baseball second baseman who played in Major League Baseball in the 1990s, primarily for the St. Louis Cardinals.
-
D.
Antonio Moreno
Antonio Moreno was a Spanish-born American actor prominent in early Hollywood cinema, known for his roles in silent films and later sound productions.
-
E.
Gabriel Basso
Gabriel Basso is an American actor known for his roles in films like "Super 8" and the Netflix series "The Night Agent."
- 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_69bd43e9b88481908582103dcadff3d9 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63d1e9c48190bad5f7d68bf0f622 |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03d074348190a19092fa02a0bb39 |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be050e0f488190804c512e7cc17c56 |
completed | March 21, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be05a6bed081909c8d8830fb103610 |
completed | March 21, 2026, 2:42 a.m. |
Created at: March 20, 2026, 1:17 p.m.