Triple
T32294482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Haas |
E825049
|
entity |
| Predicate | GrandSlamSinglesSemifinal |
P82900
|
FINISHED |
| Object |
Wimbledon 2009
Wimbledon 2009 was the edition of the prestigious grass-court Grand Slam tennis tournament held at the All England Club in London, featuring memorable matches including Roger Federer’s record-breaking 15th major title.
|
E1998710
|
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: Wimbledon 2009 | Statement: [Tommy Haas, GrandSlamSinglesSemifinal, Wimbledon 2009]
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: Wimbledon 2009 Triple: [Tommy Haas, GrandSlamSinglesSemifinal, Wimbledon 2009]
Generated description
Wimbledon 2009 was the edition of the prestigious grass-court Grand Slam tennis tournament held at the All England Club in London, featuring memorable matches including Roger Federer’s record-breaking 15th major title.
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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bd3a079881909e69eec4352660cb |
completed | May 3, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f46f45b808190ab372a22d0cfd7ef |
completed | June 15, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a2f47c3cf7c8190b87bb1fbe0b392dc |
completed | June 15, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2f48435cac8190ae6b9801098e7391 |
completed | June 15, 2026, 12:33 a.m. |
Created at: May 1, 2026, 12:44 a.m.