Triple
T1129979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High-A |
E23005
|
entity |
| Predicate | rosterComposition |
P12729
|
FINISHED |
| Object | prospects and organizational depth players |
—
|
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: prospects and organizational depth players | Statement: [High-A, rosterComposition, prospects and organizational depth players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rosterComposition Context triple: [High-A, rosterComposition, prospects and organizational depth players]
-
A.
personnelComposition
chosen
Indicates the makeup or distribution of people or roles within a group, organization, or unit.
-
B.
rosterSize
Indicates the total number of individuals included on a given roster.
-
C.
typicalTeamComposition
Indicates the usual or standard combination of roles or members that make up a team.
-
D.
partyComposition
Indicates how the members or elements of a group or party are arranged, distributed, or combined to form that party as a whole.
-
E.
activeRostersInclude
Indicates that a specified entity is currently listed as a member within another entity’s active roster.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb48de2081909a0dce005b1c9df1 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.