Triple
T31617253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Men from Shiloh |
E806793
|
entity |
| Predicate | featuresUpdatedOpeningCredits |
P202492
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Men from Shiloh, featuresUpdatedOpeningCredits, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresUpdatedOpeningCredits Context triple: [The Men from Shiloh, featuresUpdatedOpeningCredits, yes]
-
A.
featuresReimaginedVersionOf
Indicates that something includes or presents a newly interpreted or updated version of another existing work or element.
-
B.
featuresNewCharacters
Indicates that something (such as a work, episode, or installment) introduces characters that have not appeared previously.
-
C.
featureOfReleases
Indicates that certain features are associated with, included in, or introduced as part of specific releases.
-
D.
featuresAnimation
Indicates that something includes or prominently presents an animation as part of its content or functionality.
-
E.
featuresNewStorylines
Indicates that something includes or introduces previously unseen or original narrative arcs or plot developments.
- 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_69f348d61f2081908cad94bc9ffbb671 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a008ac37dc081908d360574912f40ec |
completed | May 10, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_6a008a67d73881909855ab4cfca3c399 |
completed | May 10, 2026, 1:38 p.m. |
| PDg | Predicate description generation | batch_6a008ac2d0dc8190865ccedb2003d0ed |
completed | May 10, 2026, 1:40 p.m. |
Created at: April 30, 2026, 10:39 p.m.