Triple
T35299738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heath Robinson machine |
E1019470
|
entity |
| Predicate | approximateDateOfIntroduction |
P56255
|
FINISHED |
| Object | 1943 |
—
|
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: 1943 | Statement: [Heath Robinson machine, approximateDateOfIntroduction, 1943]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateDateOfIntroduction Context triple: [Heath Robinson machine, approximateDateOfIntroduction, 1943]
-
A.
introducedDuring
Indicates that one entity was first brought into existence, use, or awareness within the time period, event, or context specified by the other entity.
-
B.
initialReleaseApprox
chosen
Indicates that an entity’s first release or debut occurred around an estimated or approximate point in time rather than on a precisely known date.
-
C.
introducedInYear
Indicates the year in which something was first introduced, launched, or made available.
-
D.
approximateStartYear
Indicates that the associated year value represents an estimated or imprecise starting year for an event, state, or relationship rather than an exact one.
-
E.
dateImplemented
Indicates the date on which something (such as a plan, rule, feature, or system) was put into effect or made operational.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff5285ed74819097e6e2a9084a079a |
completed | May 9, 2026, 3:28 p.m. |
| PD | Predicate disambiguation | batch_69ff51fbe28881908ac8417dff9db81a |
completed | May 9, 2026, 3:25 p.m. |
Created at: May 3, 2026, 4:03 p.m.