Triple
T15448994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2002 FIBA World Championship MVP |
E370097
|
entity |
| Predicate | winnerHeight |
P118837
|
FINISHED |
| Object | 213 cm |
—
|
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: 213 cm | Statement: [2002 FIBA World Championship MVP, winnerHeight, 213 cm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerHeight Context triple: [2002 FIBA World Championship MVP, winnerHeight, 213 cm]
-
A.
winnerRight
Indicates that the referenced entity is the winner on the right side or right position in a competitive or comparative context.
-
B.
winnerType
Indicates the category or kind of winner associated with an event, competition, or outcome.
-
C.
winnerLayout
Indicates that one entity is designated as the winning or primary arrangement, configuration, or layout among alternatives.
-
D.
winnerManager
Indicates that one entity is the manager or supervisor of another entity who is the winner in a given context or competition.
-
E.
winnerCount
Indicates the number of entities that are designated as winners in a given context or event.
- F. None of above. chosen
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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef9334c81908541e231b43eb012 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:21 a.m.