Triple
T12590553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zachary Michael Thomas |
E300590
|
entity |
| Predicate | primaryTeamNumber |
P25202
|
FINISHED |
| Object | 54 |
—
|
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: 54 | Statement: [Zachary Michael Thomas, primaryTeamNumber, 54]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTeamNumber Context triple: [Zachary Michael Thomas, primaryTeamNumber, 54]
-
A.
teamNumber
chosen
Indicates the specific numeric identifier assigned to a team within a larger group or system.
-
B.
primaryTeam
Indicates that one entity is the main or principal team associated with another entity, such as a person, project, or organization.
-
C.
teamNumberContext
Indicates that a specific team number is associated with or interpreted within a particular contextual setting or scope.
-
D.
teamNumberType
Indicates the type or category assigned to a team’s identifying number within a given system or context.
-
E.
collegeTeamNumber
Indicates the identifying number assigned to a college sports 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:07 p.m.