Triple
T6699135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clyde Lovellette |
E152829
|
entity |
| Predicate | olympicGamesParticipatedIn |
P7486
|
FINISHED |
| Object | 1952 Summer Olympics |
—
|
LITERAL 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: 1952 Summer Olympics | Statement: [Clyde Lovellette, olympicGamesParticipatedIn, 1952 Summer Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicGamesParticipatedIn Context triple: [Clyde Lovellette, olympicGamesParticipatedIn, 1952 Summer Olympics]
-
A.
OlympicGamesParticipated
chosen
Indicates that an entity has taken part as a competitor in one or more editions of the Olympic Games.
-
B.
olympicParticipationType
Indicates the specific role or category of involvement an entity has in the Olympic Games (e.g., as an athlete, team, official, or other participation type).
-
C.
OlympicStatus
Indicates that an entity holds a particular status or role in relation to the Olympic Games (e.g., being an Olympic sport, event, athlete, or host).
-
D.
olympicGames
Indicates that an entity is an edition or instance of the Olympic Games event.
-
E.
numberOfOlympicAppearances
Indicates the total count of times an entity has participated in the Olympic Games.
- F. None of above.
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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d089c7488190a00853fb12f53b2a |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:05 p.m.