Triple
T10622428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest Hills Drive Tour |
E250233
|
entity |
| Predicate | includesDocumentaryFootage |
P22752
|
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: [Forest Hills Drive Tour, includesDocumentaryFootage, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesDocumentaryFootage Context triple: [Forest Hills Drive Tour, includesDocumentaryFootage, yes]
-
A.
usesFootageType
chosen
Indicates that one entity employs or incorporates a particular type or category of footage in its content or production.
-
B.
madeDocumentary
Indicates that one entity created or produced a documentary film or program about another entity.
-
C.
documentaryFocus
Indicates that a documentary work primarily centers on, examines, or explores a particular subject, theme, or entity.
-
D.
recordedForFilm
Indicates that an audio or performance was captured specifically for use in a film production.
-
E.
documentaryReleasedOn
Indicates that a specific documentary was released on a particular date.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df7e5074819096668b53dcc9167a |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7fae088190973f70c69738af49 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 8:51 p.m.