Triple
T11968780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Against the common good |
E284860
|
entity |
| Predicate | seriesInception |
P102559
|
FINISHED |
| Object | circa 1810 |
—
|
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: circa 1810 | Statement: [Against the common good, seriesInception, circa 1810]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesInception Context triple: [Against the common good, seriesInception, circa 1810]
-
A.
seriesDebut
Indicates the first appearance or initial release of a series in which the subject entity is introduced.
-
B.
seriesDebutContext
Indicates the context or circumstances under which a series first debuted or was initially introduced.
-
C.
filmSeriesDebutYear
Indicates the calendar year in which a film series was first released or made its initial debut.
-
D.
filmSeriesStart
Indicates that a particular film marks the beginning or first installment of a film series.
-
E.
ongoingSeriesDebutYear
Indicates the calendar year in which an ongoing series first began or debuted.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037bee54819085242a3ef3e286f9 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:46 p.m.