Triple
T14416641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanna Schmitz |
E357469
|
entity |
| Predicate | ageDifferenceWithMichaelBerg |
P43008
|
FINISHED |
| Object | significant age gap |
—
|
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: significant age gap | Statement: [Hanna Schmitz, ageDifferenceWithMichaelBerg, significant age gap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageDifferenceWithMichaelBerg Context triple: [Hanna Schmitz, ageDifferenceWithMichaelBerg, significant age gap]
-
A.
ageDifferenceWithMuhammad
Indicates the age difference between a given person and Muhammad.
-
B.
spouseAgeDifference
Indicates the age gap between two individuals who are spouses in a marital relationship.
-
C.
ageInFirstFilm
Indicates the age a person was when they appeared in their first film.
-
D.
hasRelativeAge
chosen
Indicates that one entity has an age that is defined or compared in relation to the age of another entity.
-
E.
ageOfActorAtTime
Indicates the age that an actor has at a specified point in time.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cec8e4819087c72d82f9caacda |
completed | April 14, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:17 a.m.