Triple
T14957407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drunk History |
E372966
|
entity |
| Predicate | webSeriesDebutYear |
P116840
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Drunk History, webSeriesDebutYear, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: webSeriesDebutYear Context triple: [Drunk History, webSeriesDebutYear, 2007]
-
A.
seriesDebut
Indicates the first appearance or initial release of a series in which the subject entity is introduced.
-
B.
ongoingSeriesDebutYear
Indicates the calendar year in which an ongoing series first began or debuted.
-
C.
seriesPremiereYearOfWork
Indicates the calendar year in which a series first premiered or was initially released.
-
D.
filmSeriesDebutYear
Indicates the calendar year in which a film series was first released or made its initial debut.
-
E.
seriesPremiereOf
Indicates that one creative work (typically an episode) is the first-ever installment that begins a television or similar serialized series.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:40 a.m.