Triple
T8155285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurelia |
E190431
|
entity |
| Predicate | hasScreenDebutYear |
P79694
|
FINISHED |
| Object | 2003 |
—
|
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: 2003 | Statement: [Aurelia, hasScreenDebutYear, 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScreenDebutYear Context triple: [Aurelia, hasScreenDebutYear, 2003]
-
A.
screenDebutYear
chosen
Indicates the year in which an entity first appeared on screen (such as in film, television, or other recorded visual media).
-
B.
televisionPremiereYear
Indicates the calendar year in which a television show or program was first premiered or originally broadcast.
-
C.
productionModelDebut
Indicates the event or point in time when a model first enters official production or is publicly released as a production version.
-
D.
debutYear
Indicates the year in which an entity first appeared, was introduced, or made its initial public debut.
-
E.
discoveryYear
Indicates the calendar year in which something was first discovered or identified.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d725b88190b77dc7537c1fa95d |
completed | March 31, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:37 p.m.