Triple
T3926916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The NFL Today |
E93296
|
entity |
| Predicate | airingStatus |
P51717
|
FINISHED |
| Object | ongoing |
—
|
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: ongoing | Statement: [The NFL Today, airingStatus, ongoing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airingStatus Context triple: [The NFL Today, airingStatus, ongoing]
-
A.
premiereStatus
Indicates the status or phase of an entity’s first public presentation or debut (such as whether it has premiered, is scheduled to premiere, or has not yet premiered).
-
B.
availabilityStatus
Indicates the current state of whether something is obtainable, usable, or accessible at a given time.
-
C.
filmStatus
Indicates the current production, release, or availability state of a film (e.g., announced, in production, released, cancelled).
-
D.
playerStatus
Indicates the current state or condition of a player within a game or system, such as their activity, health, or participation status.
-
E.
hasOccupancyStatus
Indicates the current usage or availability state of something, such as whether it is occupied, vacant, or otherwise in use.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeed80a1e48190aa39748b9db42701 |
completed | March 9, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeeb5f859c819095b61f5ba8eace4f |
completed | March 9, 2026, 3:46 p.m. |
Created at: March 9, 2026, 3:23 p.m.