Triple
T38657315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fosbury Flop |
E939925
|
entity |
| Predicate | countryOfFirstGoldMedalist |
P203220
|
FINISHED |
| Object | United States |
E14
|
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: United States | Statement: [Fosbury Flop, countryOfFirstGoldMedalist, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfFirstGoldMedalist Context triple: [Fosbury Flop, countryOfFirstGoldMedalist, United States]
-
A.
wonOlympicGoldForCountry
Indicates that an athlete secured an Olympic gold medal while officially representing a particular country.
-
B.
goldMedalistNationality
Indicates the nationality of the athlete who won the gold medal in a given event or competition.
-
C.
teamNumberOfOlympicGoldMedals
Indicates the number of Olympic gold medals that a given team has won.
-
D.
countryOfFirstChampion
chosen
Indicates the country from which the very first champion (winner) of a given competition or title originated.
-
E.
countryWithMultipleMedals
Indicates that a country has earned more than one medal in a given competition or event.
- F. None of above.
Provenance (4 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_69f76ede49648190a48bfe47032a05a3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41fd48d86881909504e3469c6e0fd1 |
completed | June 29, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:33 p.m.