Triple
T15987010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wittenborn |
E387721
|
entity |
| Predicate | eraDetail |
P84318
|
FINISHED |
| Object | post-World War II period |
—
|
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: post-World War II period | Statement: [Wittenborn, eraDetail, post-World War II period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraDetail Context triple: [Wittenborn, eraDetail, post-World War II period]
-
A.
eraDescribed
Indicates that a subject provides a description or characterization of a particular historical or temporal era.
-
B.
eraType
Indicates the classification of a time period or era according to its type or category.
-
C.
eraReference
chosen
Indicates a temporal relationship where something is associated with, situated in, or characterized by a particular historical era or time period.
-
D.
eraCharacter
Indicates that a character is associated with, or belongs to, a particular historical or fictional era.
-
E.
eraEnd
Indicates the point in time or event at which a particular era, period, or phase comes to a close.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4e871c819082d7b1c1eaf5b4fe |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.