Triple
T15627682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katie |
E375723
|
entity |
| Predicate | productionFormatOfWork |
P34185
|
FINISHED |
| Object | limited series |
—
|
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: limited series | Statement: [Katie, productionFormatOfWork, limited series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionFormatOfWork Context triple: [Katie, productionFormatOfWork, limited series]
-
A.
hasProductionFormat
chosen
Indicates that an entity is associated with, or presented in, a particular production or media format.
-
B.
presentedInFormat
Indicates that something is expressed, delivered, or made available using a particular format or representation.
-
C.
formatOfWorks
Indicates the specific medium, layout, or structural form in which works are created, presented, or published.
-
D.
sourceWorkFormat
Indicates the format or medium in which the original or source work is expressed (e.g., text, audio, video).
-
E.
printingOfWork
Indicates that one entity is a specific printing or print edition produced from a particular work.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb4301881908c7157227fdf79b6 |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.