Triple
T19546263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Arness |
E489057
|
entity |
| Predicate | numberOfSeasonsOnGunsmoke |
P2652
|
FINISHED |
| Object | 20 |
—
|
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: 20 | Statement: [James Arness, numberOfSeasonsOnGunsmoke, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSeasonsOnGunsmoke Context triple: [James Arness, numberOfSeasonsOnGunsmoke, 20]
-
A.
numberOfSeasons
chosen
Indicates the total count of seasons associated with a particular entity (such as a series, competition, or event).
-
B.
numberOfEpisodes
Indicates the total count of episodes associated with a given entity, such as a series or season.
-
C.
initiallyCommissionedSeasons
Indicates the number of seasons of a show that were originally ordered or approved at the time of its initial commissioning.
-
D.
numberOfSeriesPerSeason
Indicates the total count of series (or episodes/instalments) that occur within a single season of something.
-
E.
producedSeason
Indicates that one entity produced or was responsible for creating a particular season of another entity, such as a TV series or show.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63876bacc8190b17e2087de679785 |
completed | April 20, 2026, 2:30 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.