Triple
T9263618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA All-Star |
E222639
|
entity |
| Predicate | hasSelectionCategory |
P65564
|
FINISHED |
| Object | starter |
—
|
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: starter | Statement: [NBA All-Star, hasSelectionCategory, starter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSelectionCategory Context triple: [NBA All-Star, hasSelectionCategory, starter]
-
A.
hasSelectionFor
Indicates that one entity holds or specifies a chosen option, subset, or configuration on behalf of another entity.
-
B.
hasEnlistedCategory
Indicates that an entity is associated with a specific enlisted classification or category within an organization or system.
-
C.
hasCategories
Indicates that an entity is associated with one or more categories that classify or group it.
-
D.
selectionCategory
chosen
Indicates the classification or grouping under which a particular selection or choice is categorized.
-
E.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
- 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0719eee081909e21ecb9d6dd0b49 |
completed | April 1, 2026, 11:52 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:32 p.m.