Triple
T31674153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Thorpe |
E808352
|
entity |
| Predicate | titleEarned |
P131325
|
FINISHED |
| Object | youngest-ever world champion in men's 400 m freestyle |
—
|
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: youngest-ever world champion in men's 400 m freestyle | Statement: [Ian Thorpe, titleEarned, youngest-ever world champion in men's 400 m freestyle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleEarned Context triple: [Ian Thorpe, titleEarned, youngest-ever world champion in men's 400 m freestyle]
-
A.
earnedTitle
chosen
Indicates that an entity has obtained a specific title or designation as a result of meeting certain criteria, achievements, or qualifications.
-
B.
pointsEarnedFor
Indicates the number of points that are obtained or awarded to an entity as a result of a specific action, event, or condition.
-
C.
pointsEarnedFrom
Indicates the number of points that an entity has received as a result of another specified source, action, or event.
-
D.
earnedCurrency
Indicates that an entity has obtained a specified amount or type of currency as a result of some activity, work, or transaction.
-
E.
positionAwarded
Indicates that a specific position, role, or title has been formally granted to an entity (such as a person or organization).
- 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_69f348dcf5d48190ac25b1365ae717a8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
Created at: April 30, 2026, 11:02 p.m.