Triple
T137521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monumental Sports & Entertainment |
E2778
|
entity |
| Predicate | roleOfTedLeonsis |
P5919
|
FINISHED |
| Object | founder |
—
|
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: founder | Statement: [Monumental Sports & Entertainment, roleOfTedLeonsis, founder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfTedLeonsis Context triple: [Monumental Sports & Entertainment, roleOfTedLeonsis, founder]
-
A.
legislativeRole
Indicates that an entity holds or performs a specific official position, function, or duty within a legislative body or lawmaking process.
-
B.
roleInCongress
Indicates the specific position or function an individual holds within a legislative congress.
-
C.
sponsoredInSenateBy
Indicates that a legislative measure or proposal was formally introduced or championed in the Senate by a specific senator.
-
D.
hasChiefExecutiveRole
Indicates that an entity holds the highest executive leadership position and overall managerial authority within an organization.
-
E.
impeachmentRole
Indicates the specific role or capacity an entity holds in relation to an impeachment process or proceeding.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a6cab88190944c8f74d8d1605c |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a25652efdc8190b85b33735a9e6370 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2570f45bc81909ebba7ee5f602976 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.