Triple
T28839735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homicide: A Year on the Killing Streets |
E728278
|
entity |
| Predicate | hasTelevisionAdaptationNetwork |
P96611
|
FINISHED |
| Object | NBC |
—
|
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: NBC | Statement: [Homicide: A Year on the Killing Streets, hasTelevisionAdaptationNetwork, NBC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTelevisionAdaptationNetwork Context triple: [Homicide: A Year on the Killing Streets, hasTelevisionAdaptationNetwork, NBC]
-
A.
hasTelevisionAdaptationBroadcaster
chosen
Indicates that the broadcaster specified is responsible for airing the television adaptation of the subject work or entity.
-
B.
isTelevisionAdaptationOf
Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
-
C.
televisionFilmAdaptation
Indicates that a television film is an adaptation of another work, such as a book, play, or earlier production.
-
D.
coCreatedTelevisionAdaptationOf
Indicates that two or more entities jointly participated in creating a television adaptation of a work.
-
E.
hasComicAdaptation
Indicates that one entity has been adapted into a comic based on the other entity.
- 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_69f0319e8e7c8190b37288c8845b9dbc |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 28, 2026, 6:40 a.m.