Triple
T35647067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gunslinger (Westworld 1973 film) |
E1030039
|
entity |
| Predicate | failsafeStatus |
P113077
|
FINISHED |
| Object | malfunctioning |
—
|
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: malfunctioning | Statement: [The Gunslinger (Westworld 1973 film), failsafeStatus, malfunctioning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: failsafeStatus Context triple: [The Gunslinger (Westworld 1973 film), failsafeStatus, malfunctioning]
-
A.
failsSafeTo
Indicates that one entity does not successfully ensure the safety or protection of another entity or context.
-
B.
failsTo
chosen
Indicates that an expected action, process, or condition does not successfully occur or is not fulfilled.
-
C.
fallStatus
Indicates the condition or outcome of a fall event affecting an entity.
-
D.
failedOn
Indicates that an attempted action or process did not succeed when applied to a specific target, condition, or step.
-
E.
possibleStatus
Indicates the set of statuses that an entity is allowed or able to assume within a given context.
- 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_69f76e0938088190a8f199631e97dec3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f512e2c819082401a8ce302bda2 |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.