Triple
T2248483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Art Monk |
E49560
|
entity |
| Predicate | AllProSelection |
P8421
|
FINISHED |
| Object | 1984 |
—
|
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: 1984 | Statement: [Art Monk, AllProSelection, 1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AllProSelection Context triple: [Art Monk, AllProSelection, 1984]
-
A.
allStarGameArena
Indicates the arena or venue where an All-Star Game is held.
-
B.
allProSelectionCount
chosen
Indicates the number of times an entity has been selected for an All-Pro team or equivalent top-level professional recognition.
-
C.
careerOPSPlus
Indicates a relationship where an entity’s career performance or opportunities are enhanced, improved, or positively adjusted beyond a standard or baseline level.
-
D.
ABAteam
Indicates a relationship where an entity is a team that competes in or is affiliated with the American Basketball Association (ABA).
-
E.
teamSelection
Indicates the assignment or choice of one or more individuals or entities to be part of a specific team.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ed5c38819080b45ea398fb59f2 |
completed | March 7, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69abbdb160248190aa75b38f11ad8602 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.