Triple
T37868992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Falcon and the Co-eds |
E944552
|
entity |
| Predicate | filmSeriesType |
P52541
|
FINISHED |
| Object | detective series |
—
|
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: detective series | Statement: [The Falcon and the Co-eds, filmSeriesType, detective series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmSeriesType Context triple: [The Falcon and the Co-eds, filmSeriesType, detective series]
-
A.
filmSeries
Indicates that a film is part of, or associated with, a larger film series or franchise.
-
B.
filmSeriesReturn
Indicates that a film marks the return or continuation of a previously established film series or franchise.
-
C.
filmSeriesRelation
Indicates a relationship where one film is part of, belongs to, or is connected within a larger film series or franchise.
-
D.
filmSerialType
chosen
Indicates the type or category of a film serial to which a particular film or episode belongs.
-
E.
filmSeriesCount
Indicates the number of films that belong to a particular film series.
- 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.