Triple
T5228822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little House on the Prairie |
E118057
|
entity |
| Predicate | pilotFilmReleased |
P32519
|
FINISHED |
| Object | 1974 |
—
|
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: 1974 | Statement: [Little House on the Prairie, pilotFilmReleased, 1974]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilotFilmReleased Context triple: [Little House on the Prairie, pilotFilmReleased, 1974]
-
A.
pilotAired
chosen
Indicates that the initial (pilot) episode of a series has been broadcast or released.
-
B.
hasPilot
Indicates that an entity is operated or controlled by a specific pilot.
-
C.
filmedFor
Indicates that something was recorded or produced specifically for a particular purpose, audience, platform, or project.
-
D.
producedFilm
Indicates that one entity served as the producer (or production company) responsible for making or financing the creation of a particular film.
-
E.
theatricalReleaseIn
Indicates that a film or performance was released or shown theatrically in a specified location or market.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0093a88190aba381ba3f761408 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:48 p.m.