Triple
T22001771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lexie Littleton |
E543342
|
entity |
| Predicate | sportInFictionalContext |
P57674
|
FINISHED |
| Object | American football |
—
|
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: American football | Statement: [Lexie Littleton, sportInFictionalContext, American football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportInFictionalContext Context triple: [Lexie Littleton, sportInFictionalContext, American football]
-
A.
featuresFictionalSport
Indicates that a work includes or showcases a fictional sport as part of its content or setting.
-
B.
portraysSport
chosen
Indicates that one entity visually or narratively represents or depicts a particular sport.
-
C.
sportCreated
Indicates that an entity is the originator or inventor of a particular sport.
-
D.
popularSport
Indicates that a sport is widely liked, followed, or played by many people within a certain group or region.
-
E.
fictionalLeague
Indicates that an entity is associated with or belongs to a league that exists only in fiction rather than in reality.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276ae4e0819097bf1b978451f776 |
completed | April 28, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:20 p.m.