Triple
T26385109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winston Shakespeare |
E663255
|
entity |
| Predicate | significantAgeDifferenceWith |
P151749
|
FINISHED |
| Object | Stella Payne |
—
|
NE NERFINISHED |
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: Stella Payne | Statement: [Winston Shakespeare, significantAgeDifferenceWith, Stella Payne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantAgeDifferenceWith Context triple: [Winston Shakespeare, significantAgeDifferenceWith, Stella Payne]
-
A.
spouseAgeDifference
Indicates the age gap between two individuals who are spouses in a marital relationship.
-
B.
hasAgeSignificance
Indicates that something holds particular importance, relevance, or meaning specifically due to its age or the age of an associated entity.
-
C.
protagonistAgeDifferenceTheme
Indicates that the work thematically explores the significance or impact of age differences involving the protagonist.
-
D.
relativeAgeInference
Indicates an inferred ordering of ages between entities, specifying which one is relatively older or younger based on available information.
-
E.
ageRelation
chosen
Indicates a relationship that specifies or compares the ages of entities, such as one being older, younger, or of the same age as another.
- 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 26, 2026, 11:21 p.m.