Triple
T24579786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IFFHS World’s Best Referee |
E608214
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object |
IFFHS annual world awards
The IFFHS annual world awards are a series of global football honors presented each year by the International Federation of Football History & Statistics to recognize the best players, coaches, referees, and teams across various categories.
|
E995770
|
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: IFFHS annual world awards | Statement: [IFFHS World’s Best Referee, isPartOf, IFFHS annual world awards]
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: IFFHS annual world awards Triple: [IFFHS World’s Best Referee, isPartOf, IFFHS annual world awards]
Generated description
The IFFHS annual world awards are a series of global football honors presented each year by the International Federation of Football History & Statistics to recognize the best players, coaches, referees, and teams across various categories.
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_69e2c4cdab6c8190aae6e5d3de55c95e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a97fde9c81909d8de91b6358a015 |
completed | April 30, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ff87465988190bc435c2dc2d80c0a |
completed | May 22, 2026, 6:32 a.m. |
| NEDg | Description generation | batch_6a0ff956f6e48190950c5bace85c9669 |
completed | May 22, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ff9feda34819084e79982606c3972 |
completed | May 22, 2026, 6:38 a.m. |
Created at: April 18, 2026, 2:29 a.m.