Triple
T35154286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tru |
E1015075
|
entity |
| Predicate | televisionFilmSeries |
P3279
|
FINISHED |
| Object | American Playhouse |
—
|
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: American Playhouse | Statement: [Tru, televisionFilmSeries, American Playhouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionFilmSeries Context triple: [Tru, televisionFilmSeries, American Playhouse]
-
A.
televisionFilm
Indicates that the subject is a television film (a movie produced for or originally distributed via television).
-
B.
televisionShow
chosen
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
C.
televisionUniverse
Indicates that two entities exist within the same fictional television continuity or shared TV universe.
-
D.
televisionFilmAdaptation
Indicates that a television film is an adaptation of another work, such as a book, play, or earlier production.
-
E.
televisionSeriesFilmed
Indicates that a television series was filmed or recorded at a particular location or studio.
- 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_69f76ddb3a708190b521ba2970b17178 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78cf0cfdc81908da6f605f6988e8e |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.