Triple
T18335799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Zane |
E439266
|
entity |
| Predicate | MrOlympiaWin |
P129042
|
FINISHED |
| Object | 1977 |
—
|
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: 1977 | Statement: [Frank Zane, MrOlympiaWin, 1977]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MrOlympiaWin Context triple: [Frank Zane, MrOlympiaWin, 1977]
-
A.
MrOlympiaChampionYear
chosen
Indicates that the subject is the winner of the Mr. Olympia bodybuilding competition in the specified year.
-
B.
numberOfMrOlympiaTitles
Indicates the number of Mr. Olympia bodybuilding titles that an individual has won.
-
C.
wonChampionshipAgainst
Indicates that one competitor secured a championship title by defeating another specific opponent.
-
D.
wonAgainst
Indicates that one entity achieved victory over another in a competition, conflict, or contest.
-
E.
eraOfStrongAthleticsDominance
Indicates a time period during which a particular athlete, team, or group consistently outperformed competitors and maintained clear superiority in athletic performance or results.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecd759481909703ed2d0d68199f |
completed | April 19, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.