Triple
T28193233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wesley Sneijder |
E716371
|
entity |
| Predicate | individualAward |
P11
|
FINISHED |
| Object |
Silver Ball at 2010 FIFA World Cup
The Silver Ball at the 2010 FIFA World Cup was the tournament’s award for the second-best overall player, earned for his outstanding performances by Dutch midfielder Wesley Sneijder.
|
E1804556
|
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: Silver Ball at 2010 FIFA World Cup | Statement: [Wesley Sneijder, individualAward, Silver Ball at 2010 FIFA World Cup]
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: Silver Ball at 2010 FIFA World Cup Triple: [Wesley Sneijder, individualAward, Silver Ball at 2010 FIFA World Cup]
Generated description
The Silver Ball at the 2010 FIFA World Cup was the tournament’s award for the second-best overall player, earned for his outstanding performances by Dutch midfielder Wesley Sneijder.
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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f642cf92d88190bdb919fc9fb18c2b |
completed | May 2, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a15d7cfd3948190ba368bc36b43d1ec |
completed | May 26, 2026, 5:26 p.m. |
| NEDg | Description generation | batch_6a15d98199b481909d1d6354db7bea62 |
completed | May 26, 2026, 5:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a15da243358819080e9a45a52825a01 |
completed | May 26, 2026, 5:36 p.m. |
Created at: April 27, 2026, 10:26 p.m.