Triple
T36162815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yerma (2016 Young Vic production) |
E1045921
|
entity |
| Predicate | hasLiveVideoDesign |
P198275
|
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: [Yerma (2016 Young Vic production), hasLiveVideoDesign, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiveVideoDesign Context triple: [Yerma (2016 Young Vic production), hasLiveVideoDesign, yes]
-
A.
hasLiveVideoRelease
Indicates that an entity has an associated release of a live video recording.
-
B.
hasLiveBroadcast
Indicates that a live broadcast is currently being transmitted or available for the referenced entity.
-
C.
hasLiveMode
Indicates that an entity supports or is currently operating in a real-time, live-operation mode.
-
D.
hasVideoBoard
Indicates that an entity is equipped with or includes a video board (graphics/display hardware component).
-
E.
isLive
Indicates that an entity is currently broadcasting or occurring in real time, as opposed to being pre-recorded or inactive.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fed6da0390819096b88ef4714b144e |
completed | May 9, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69fed53517d081909966f31707625f1a |
completed | May 9, 2026, 6:33 a.m. |
| PDg | Predicate description generation | batch_69fed6d90f2081909cd21e5e973a6b89 |
completed | May 9, 2026, 6:40 a.m. |
Created at: May 3, 2026, 4:08 p.m.