Triple
T13741672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lifetime Achievement Award |
E330099
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object | Sir Chris Hoy |
E105992
|
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: Sir Chris Hoy | Statement: [Lifetime Achievement Award, notableRecipient, Sir Chris Hoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir Chris Hoy Context triple: [Lifetime Achievement Award, notableRecipient, Sir Chris Hoy]
-
A.
Chris Hoy
Chris Hoy is an American politician who serves as the mayor of Salem, Oregon.
-
B.
Chris Hoy
chosen
Chris Hoy is a British former track cyclist and multiple Olympic and world champion, widely regarded as one of the most successful cyclists in history.
-
C.
David Weir
David Weir is a British Paralympic wheelchair racer and multiple gold medalist renowned for his achievements on the track and in major marathons.
-
D.
Scot Armstrong
Scot Armstrong is an American screenwriter and producer known for his work on hit comedy films such as "Old School," "Road Trip," and "The Hangover Part II."
-
E.
Gordon Reid
Gordon Reid is a Scottish wheelchair tennis player and multiple Grand Slam champion who has also won Paralympic gold.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0206a4b88190a60914e2b43e54f9 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6db3a48190a4f3595355f9073b |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.