Triple
T3860668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chain Sword |
E90126
|
entity |
| Predicate | originMedium |
P35132
|
FINISHED |
| Object | live-action film |
—
|
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: live-action film | Statement: [Chain Sword, originMedium, live-action film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originMedium Context triple: [Chain Sword, originMedium, live-action film]
-
A.
primaryMedium
Indicates the main material, format, or channel through which something is created, expressed, or communicated.
-
B.
mediaOrigin
Indicates the original source or provenance from which a piece of media (such as an image, video, or audio) was derived or obtained.
-
C.
mediumOfOrigin
Indicates the original physical or digital medium from which an item, work, or data was derived or obtained.
-
D.
originAuthor
Indicates that an entity is the original creator or author of another entity (such as a work, document, or idea).
-
E.
originalPublicationForm
chosen
Indicates the format or medium in which a work was first originally published.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec212a1c8190aba6311630c3fd3e |
completed | March 9, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69aee752c8a48190a670f73ed0bf1e61 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.