Triple
T30515286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E Street |
E776546
|
entity |
| Predicate | isTelevisionContent |
P3279
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [E Street, isTelevisionContent, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTelevisionContent Context triple: [E Street, isTelevisionContent, yes]
-
A.
isTelevisionShowType
Indicates that one entity is a specific type or category of television show in relation to another entity.
-
B.
isTelevisionShowAbout
Indicates that a television show’s primary content, theme, or subject matter concerns a specified topic, person, event, or concept.
-
C.
isTelevised
Indicates that an event, program, or activity is broadcast on television for public viewing.
-
D.
isTelevisionChristmasSpecial
Indicates that the subject is a television program specifically produced or designated as a Christmas-themed special.
-
E.
televisionShow
chosen
Indicates that one entity is a television show associated with, or featured in relation to, another 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f687bcc4b48190b7c2a6c814bf2916 |
completed | May 2, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:16 p.m.