Triple
T37829370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazar Wolf |
E943154
|
entity |
| Predicate | firstStageAppearanceYear |
P51825
|
FINISHED |
| Object | 1964 |
—
|
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: 1964 | Statement: [Lazar Wolf, firstStageAppearanceYear, 1964]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstStageAppearanceYear Context triple: [Lazar Wolf, firstStageAppearanceYear, 1964]
-
A.
firstShowYear
Indicates the year in which something (such as a show, event, or work) was first presented or made publicly available.
-
B.
firstStageAdaptationYear
chosen
Indicates the year in which a work was first adapted into a stage production.
-
C.
firstPublicationYearOfAppearance
Indicates the year in which an entity (such as a work or character) first appeared in a published form.
-
D.
firstStageAppearance
Indicates the event or context in which an entity makes its initial appearance on stage.
-
E.
firstAppearedAt
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
- 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_69f76eea4c8c8190a335aed5955cf2db |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:19 p.m.