Triple
T5780181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tessie |
E127536
|
entity |
| Predicate | originallyPremieredInYear |
P66420
|
FINISHED |
| Object | 1902 |
—
|
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: 1902 | Statement: [Tessie, originallyPremieredInYear, 1902]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyPremieredInYear Context triple: [Tessie, originallyPremieredInYear, 1902]
-
A.
premieredIn
Indicates that a creative work first publicly debuted or was initially presented in a particular place, event, or context.
-
B.
originallyAiredOn
Indicates the date or time when a media work (such as a TV episode, radio show, or broadcast) was first publicly aired.
-
C.
originallyAiredIn
Indicates the country, region, or network where a show, episode, or broadcast was first originally aired.
-
D.
premieredOn
Indicates that an event, work, or production had its first public showing or debut on a specified date or at a specified time.
-
E.
originallyReleasedOn
Indicates the date or platform on which something (such as a work, product, or media item) was first made publicly available.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021d0c6088190ba670ddcdbf5ca3e |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c02ac9603481909e3fa295d7904a15 |
completed | March 22, 2026, 5:45 p.m. |
Created at: March 22, 2026, 3:50 p.m.