Triple
T21406769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jayne Mansfield (cenotaph) |
E528055
|
entity |
| Predicate | hasSubjectCareerPeakDecades |
P1483
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [Jayne Mansfield (cenotaph), hasSubjectCareerPeakDecades, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubjectCareerPeakDecades Context triple: [Jayne Mansfield (cenotaph), hasSubjectCareerPeakDecades, 1950s]
-
A.
activeYearsPeak
Indicates the span of years during which an entity was at the height of its activity or prominence.
-
B.
refersToEraOfCareer
Indicates that one entity specifies or denotes the particular era or phase within another entity’s career.
-
C.
hasRankAtPeakOfCareer
Indicates the specific rank or position an entity held at the highest point of its career.
-
D.
typicalCareerStageOfLaureates
Indicates the usual point in a laureate’s career (e.g., early, mid, late) at which they receive or are recognized with the award.
-
E.
activeInDecade
chosen
Indicates that an entity was active or engaged in its primary activities during a specified decade.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1b08fdc81909b3ba01add5f6484 |
completed | April 22, 2026, 11:32 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:32 p.m.