Triple
T435700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Parish |
E10005
|
entity |
| Predicate | numberOfAllStarSelections |
P7101
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Robert Parish, numberOfAllStarSelections, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAllStarSelections Context triple: [Robert Parish, numberOfAllStarSelections, 9]
-
A.
allStarSelectionCount
chosen
Indicates the number of times an entity has been selected as an All-Star.
-
B.
allStarGame
Indicates that an entity participated in, was selected for, or is otherwise associated with an All-Star Game event.
-
C.
hasAllStarGame
Indicates that an entity has participated in, hosted, or is otherwise associated with an All-Star Game event.
-
D.
allStarGameName
Indicates the specific name or title assigned to an All-Star Game event associated with an entity.
-
E.
allStarAppearances
Indicates the number of times an entity has been selected to participate in an All-Star event or game.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef0b6e0c8190ad6a335ee804829c |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2eddb98e081909efcf9f0a955a908 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.