Triple
T35142632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pilot (Friends) |
E1014735
|
entity |
| Predicate | establishesGenreTone |
P191722
|
FINISHED |
| Object | comedic |
—
|
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: comedic | Statement: [The Pilot (Friends), establishesGenreTone, comedic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishesGenreTone Context triple: [The Pilot (Friends), establishesGenreTone, comedic]
-
A.
analyzesGenre
Indicates that one entity examines or evaluates the genre characteristics or classification of another entity.
-
B.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
-
C.
namedForGenre
Indicates that something is given a name based on or derived from a particular genre.
-
D.
bearerGenre
Indicates that an entity (the bearer) is associated with or characterized by a particular genre.
-
E.
hasGenreAsSetting
Indicates that a work’s setting is characterized by, or takes place within, a particular genre.
- 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_69f76dda7c108190a2ffd93eb6c341a7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69fce76669408190b1beef8899a8a5e2 |
completed | May 7, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:02 p.m.