Triple
T30456203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sprawl II (Mountains Beyond Mountains) |
E774867
|
entity |
| Predicate | hasInteractiveVideoVersion |
P68368
|
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: [Sprawl II (Mountains Beyond Mountains), hasInteractiveVideoVersion, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInteractiveVideoVersion Context triple: [Sprawl II (Mountains Beyond Mountains), hasInteractiveVideoVersion, Yes]
-
A.
hasInteractiveFilm
chosen
Indicates that an entity is associated with, offers, or features an interactive film experience.
-
B.
hasVideoContent
Indicates that an entity includes or is associated with video-based media as part of its content.
-
C.
hasVideoPartsWith
Indicates that a video is composed of or associated with specific component segments or parts.
-
D.
isVideoOf
Indicates that one entity is a video recording or representation depicting, documenting, or illustrating the other entity.
-
E.
hasTelevisionVersion
Indicates that one entity has a corresponding version or adaptation that is specifically produced for or presented on television.
- 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_69f22494fb60819095d893de0284f886 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fee691952c8190822da83e46311d1d |
completed | May 9, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69fee62f285c8190a625562a9b80526e |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 29, 2026, 8:09 p.m.