Triple
T25137947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dean of NFL Referees |
E629712
|
entity |
| Predicate | hasPrimaryAssociationPeriod |
P28924
|
FINISHED |
| Object | 20th century NFL |
—
|
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: 20th century NFL | Statement: [Dean of NFL Referees, hasPrimaryAssociationPeriod, 20th century NFL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryAssociationPeriod Context triple: [Dean of NFL Referees, hasPrimaryAssociationPeriod, 20th century NFL]
-
A.
hasPrimaryAssociation
Indicates that one entity is chiefly or most directly connected, linked, or related to another among possible associations.
-
B.
hasMainPeriod
chosen
Indicates that something is associated with or characterized by a primary or most significant time period.
-
C.
hasPeriodRange
Indicates that there is a temporal span or interval during which something is valid, active, or applicable.
-
D.
hasSecondaryPeriod
Indicates that an entity is associated with an additional, subordinate, or second time period beyond its primary period.
-
E.
hasPrimaryFocusPeriod
Indicates that something is chiefly concerned with, or centered on, a particular period of time.
- 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_69e2ff338250819096ff6c8892804389 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 18, 2026, 6:29 a.m.