Triple
T12148857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Game of Death |
E289399
|
entity |
| Predicate | filmingInterruptedBy |
P59504
|
FINISHED |
| Object | Bruce Lee's death |
—
|
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: Bruce Lee's death | Statement: [Game of Death, filmingInterruptedBy, Bruce Lee's death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmingInterruptedBy Context triple: [Game of Death, filmingInterruptedBy, Bruce Lee's death]
-
A.
filmingEnded
Indicates that the process of filming or recording an audiovisual work has been completed.
-
B.
constructionInterruptedBy
Indicates that an ongoing construction process is halted, delayed, or disrupted due to the actions or occurrence of another specified entity or event.
-
C.
filmingState
Indicates the current production or recording status of a filming activity, such as whether it is planned, in progress, paused, or completed.
-
D.
stateOfFilming
Indicates the location or jurisdiction (such as a state or region) where the filming of a work takes place.
-
E.
wasInterruptedBy
chosen
Indicates that an ongoing event, action, or process was stopped or disrupted by another event, action, or agent.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.