Triple
T1332112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 U.S. Open Cup |
E28665
|
entity |
| Predicate | decidingGoalScorer |
P2220
|
FINISHED |
| Object |
Herculez Gomez
Herculez Gomez is a retired American soccer forward known for his goal-scoring in Major League Soccer and appearances with the United States national team.
|
E154474
|
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: Herculez Gomez | Statement: [2005 U.S. Open Cup, decidingGoalScorer, Herculez Gomez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herculez Gomez Context triple: [2005 U.S. Open Cup, decidingGoalScorer, Herculez Gomez]
-
A.
Armando
Armando is a masculine given name of Spanish and Portuguese origin, commonly used in many Spanish-speaking countries.
-
B.
Ramón
Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
C.
Oswaldo
Oswaldo is the given first name of Ozzie Guillén, the Venezuelan former Major League Baseball shortstop and World Series–winning manager.
-
D.
Armando Diaz
Armando Diaz was an Italian general best known for leading Italy to victory on the Italian Front during World War I, particularly at the Battle of Vittorio Veneto.
-
E.
Eugenio
Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
- 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: Herculez Gomez Triple: [2005 U.S. Open Cup, decidingGoalScorer, Herculez Gomez]
Generated description
Herculez Gomez is a retired American soccer forward known for his goal-scoring in Major League Soccer and appearances with the United States national team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Herculez Gomez Target entity description: Herculez Gomez is a retired American soccer forward known for his goal-scoring in Major League Soccer and appearances with the United States national team.
-
A.
Armando
Armando is a masculine given name of Spanish and Portuguese origin, commonly used in many Spanish-speaking countries.
-
B.
Ramón
Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
C.
Oswaldo
Oswaldo is the given first name of Ozzie Guillén, the Venezuelan former Major League Baseball shortstop and World Series–winning manager.
-
D.
Armando Diaz
Armando Diaz was an Italian general best known for leading Italy to victory on the Italian Front during World War I, particularly at the Battle of Vittorio Veneto.
-
E.
Eugenio
Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1e7f1388190a6e4eb65a7997380 |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc62978c08190be285167cf579f9f |
completed | March 8, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69acc8837400819084e2de10b7916a5f |
completed | March 8, 2026, 12:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc8e54728819081bdbf48df1a3fb6 |
completed | March 8, 2026, 12:55 a.m. |
Created at: March 1, 2026, 7:55 p.m.