Triple
T33184847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calvada Productions |
E849437
|
entity |
| Predicate | notableSeriesDebutYear |
P206375
|
FINISHED |
| Object | 1961 |
—
|
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: 1961 | Statement: [Calvada Productions, notableSeriesDebutYear, 1961]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSeriesDebutYear Context triple: [Calvada Productions, notableSeriesDebutYear, 1961]
-
A.
notableSeriesDebut
Indicates that an entity is recognized for making its first significant appearance or debut within a particular series.
-
B.
seriesDebut
Indicates the first appearance or initial release of a series in which the subject entity is introduced.
-
C.
appearsInSeriesStartYear
Indicates the year in which the series in which the entity appears first began airing or was initially released.
-
D.
ongoingSeriesDebutYear
Indicates the calendar year in which an ongoing series first began or debuted.
-
E.
seriesDebutContext
Indicates the context or circumstances under which a series first debuted or was initially introduced.
- F. None of above. chosen
Provenance (4 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:29 a.m.