Triple
T38677976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DiscoVision |
E943808
|
entity |
| Predicate | initialReliabilityIssues |
P172228
|
FINISHED |
| Object | disc manufacturing defects |
—
|
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: disc manufacturing defects | Statement: [DiscoVision, initialReliabilityIssues, disc manufacturing defects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialReliabilityIssues Context triple: [DiscoVision, initialReliabilityIssues, disc manufacturing defects]
-
A.
engineReliability
Indicates how consistently and dependably an engine performs its intended function without failure over time.
-
B.
conditionIssues
chosen
Indicates that one entity has problems, defects, or concerns related to the state or condition of another entity.
-
C.
hadMultipleIssues
Indicates that the subject experienced more than one problem, error, or issue in the relevant context.
-
D.
laterOperationalIssue
Indicates that an operational issue occurred at some point after a referenced time, event, or condition.
-
E.
unreliableAgainst
Indicates that one entity cannot be consistently depended on to perform effectively or correctly when dealing with, opposing, or interacting with another specified entity.
- 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: May 3, 2026, 4:33 p.m.