Triple
T11891862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alex Brosque |
E282934
|
entity |
| Predicate | teamNumberRole |
P102098
|
FINISHED |
| Object | attacking player for Sydney FC |
—
|
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: attacking player for Sydney FC | Statement: [Alex Brosque, teamNumberRole, attacking player for Sydney FC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamNumberRole Context triple: [Alex Brosque, teamNumberRole, attacking player for Sydney FC]
-
A.
teamNumberContext
Indicates that a specific team number is associated with or interpreted within a particular contextual setting or scope.
-
B.
teamNumber
Indicates the specific numeric identifier assigned to a team within a larger group or system.
-
C.
memberTeam
Indicates that an entity belongs to or is part of a specific team.
-
D.
collegeTeamNumber
Indicates the identifying number assigned to a college sports team.
-
E.
teamCountType
Indicates how the number of teams is categorized or measured within a given context.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a3f7548190adfb567f060a175a |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:44 p.m.