Triple
T3754456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Father Dowling Mysteries |
E82011
|
entity |
| Predicate | pilotFormat |
P51133
|
FINISHED |
| Object | television film |
—
|
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: television film | Statement: [Father Dowling Mysteries, pilotFormat, television film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilotFormat Context triple: [Father Dowling Mysteries, pilotFormat, television film]
-
A.
pilotDirector
Indicates that one entity serves as the director of the pilot episode or initial installment of another entity (such as a series or project).
-
B.
pilotRun
Indicates that an entity conducts or participates in a preliminary or trial implementation of a process, system, or project to test and evaluate it before full-scale deployment.
-
C.
packageFormat
Indicates the format or type in which a package is structured, encoded, or delivered.
-
D.
pilotSentence
Indicates that an entity operates or controls an aircraft or similar vehicle in the context of a described situation or sentence.
-
E.
projectionFormat
Indicates the specific technical format or method used to project visual content (such as film or digital media) onto a display surface.
- F. None of above. chosen
Provenance (4 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb94ffc08190a7fd1ce71a15f787 |
completed | March 8, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69adc04adebc819088d7f36d0ac343a6 |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc1560c248190b07438d766880990 |
completed | March 8, 2026, 6:35 p.m. |
Created at: March 8, 2026, 3:35 p.m.