Triple
T30933086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Scott Paper Company |
E788046
|
entity |
| Predicate | featureEpisode |
P53537
|
FINISHED |
| Object | Michael Scott Paper Company (Season 5) |
—
|
NE NERFINISHED |
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: Michael Scott Paper Company (Season 5) | Statement: [Michael Scott Paper Company, featureEpisode, Michael Scott Paper Company (Season 5)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featureEpisode Context triple: [Michael Scott Paper Company, featureEpisode, Michael Scott Paper Company (Season 5)]
-
A.
associatedEpisode
chosen
Indicates that one entity is linked or connected to a particular episode as its related or relevant installment.
-
B.
featureOfSeries
Indicates that something is a characteristic, attribute, or component belonging to or describing a particular series.
-
C.
hasEpisodeAbout
Indicates that a particular episode (such as of a show, podcast, or series) focuses on, discusses, or is centered around a specified subject or topic.
-
D.
narratesEpisode
Indicates that one entity tells or recounts a specific episode or event involving another entity.
-
E.
narrativeEpisode
Indicates that one event, scene, or segment functions as a distinct episode within a larger narrative or storyline.
- 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_69f224c0b7fc819090cb89df60d23653 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0048697bd081909073640666ca6a96 |
completed | May 10, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_6a0047bf3c248190a9ac97a7afdfe2cb |
completed | May 10, 2026, 8:54 a.m. |
Created at: April 29, 2026, 8:52 p.m.