Triple
T249319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feynman O-ring ice water demonstration |
E5107
|
entity |
| Predicate | showedFailureOf |
P202
|
FINISHED |
| Object | O-ring primary seal |
—
|
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: O-ring primary seal | Statement: [Feynman O-ring ice water demonstration, showedFailureOf, O-ring primary seal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showedFailureOf Context triple: [Feynman O-ring ice water demonstration, showedFailureOf, O-ring primary seal]
-
A.
failedLaunches
Indicates that one or more attempts to launch something (e.g., a product, project, or mission) did not succeed.
-
B.
fault
Indicates that one entity is responsible or at blame for a problem, error, or undesirable outcome involving another entity or situation.
-
C.
demonstratedBy
chosen
Indicates that something is shown, proven, or made evident through the actions, behavior, or example of a particular entity.
-
D.
defacedWith
Indicates that one entity has been damaged, marred, or vandalized using another entity as the means or material of defacement.
-
E.
typeOfFaulting
Indicates the kind or classification of geological faulting that characterizes the relationship between rock units or structures.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d3728f0819086214ccc2db2305a |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b64ea3081908de626a0e1445bdb |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.