Triple
T18642462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simone vs Herself |
E455722
|
entity |
| Predicate | subjectAchievement |
P111190
|
FINISHED |
| Object | multiple Olympic gold medals |
—
|
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: multiple Olympic gold medals | Statement: [Simone vs Herself, subjectAchievement, multiple Olympic gold medals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectAchievement Context triple: [Simone vs Herself, subjectAchievement, multiple Olympic gold medals]
-
A.
achievementDefinition
Indicates that one entity specifies or defines the criteria, properties, or structure of an achievement associated with another entity.
-
B.
achievementStatus
Indicates the current state or level of completion of an achievement-related goal or milestone for an entity.
-
C.
achievementScope
Indicates the extent or domain within which an achievement is recognized, measured, or considered valid.
-
D.
associatedAchievement
Indicates a relationship where one entity is linked to, or recognized in connection with, a particular achievement.
-
E.
hasSubjectAchievement
chosen
Indicates that an entity has achieved, accomplished, or earned a particular subject-related goal, milestone, or recognition.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fcd6da081908030b052727f2c2f |
completed | April 19, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:47 a.m.